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STATYSTYKA OBLICZENIOWA

Amerykańskie Towarzystwo Statystyczne ogłosiło rok 2013 Międzynarodowym Rokiem Statystyki. Ogólnoświatowa akcja ma na celu uczczenie i docenienie osiągnięć nauk statystycznych. Przyłączyliśmy się do akcji promując najważniejsze książki z tej dziedziny.

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A Visual Guide to Stata Graphics

9781597181068 07.02.2012 Oprawa: miękka

£ 57,99

Michael N. Mitchell

Whether you are new to Stata graphics or a seasoned veteran, A Visual Guide to Stata Graphics, Third Edition will reach you how to use Stata to make publication-quality graphics that will stand out and enhance your statistical results. With over 900 illustrated examples and quick-reference tabs, this book quickly guides you to the information you need for creating and customizing high-quality graphs for any type of statistical data. Each graph is displayed in full color with simple and clear instructions that illustrate how to create and customize graphs using either Stata commands or the Stata Graph Editor. Stata's powerful graphics system gives you complete control over how the elements of your graph look, from marker symbols to lines, from legends to captions and titles, from axis labels to grid lines, and more. Whether you use this book as a learning tool or a quick reference, you will have the power of Stata graphics at your fingertips. The third edition has been updated and expanded to reflect new Stat graphics features, and includes many additional examples. This updated edition illustrates new features to specify fonts and symbols.

Taylor & Francis

Advanced Markov Chain Monte Carlo Methods

9780470748268 16.07.2010 Oprawa: twarda

£ 67,50

Faming Liang

Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Key Features: Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems. A detailed discussion of the Monte Carlo Metropolis-Hastings algorithm that can be used for sampling from distributions with intractable normalizing constants. Up-to-date accounts of recent developments of the Gibbs sampler. Comprehensive overviews of the population-based MCMC algorithms and the MCMC algorithms with adaptive proposals. This book can be used as a textbook or a reference book for a one-semester graduate course in statistics, computational biology, engineering, and computer sciences. Applied or theoretical researchers will also find this book beneficial.

Wiley

An Elementary Introduction to Statistical Learning Theory

9780470641835 15.07.2011 Oprawa: twarda

£ 66,50

Sanjeev Kulkarni

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage.

Wiley

An Introduction to Stata for Health Researchers

9781597180771 01.10.2010 Oprawa: miękka

£ 49,99

Svend Juul

An Introduction to Stata for Health Researchers, Third Edition systematically covers data management, simple description and analysis, and more advanced analyses that are most often used in health research, such as regression models, survival analysis, measurement, and diagnosis. It also describes many graph types as well as how to modify the appearance of a graph. Throughout the text, the authors emphasize the importance of good documentation habits to prevent errors and wasted time. They demonstrate the use of strategies and tools for documentation. Robust data sets can be downloaded from the book's website. What's New This third edition presents some of the new features in Stata 11, including the new, flexible syntax for factor variables. It also incorporates Stata 11 in the rewritten chapters on regression and survival analysis. Taking into account the improved availability of online documentation, this edition points to further reading in the online manuals.

Taylor & Francis

An R Companion to Linear Statistical Models

9781439873656 20.10.2011 Oprawa: twarda

£ 52,99

Christopher Hay-Jahans

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters. This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures.

Taylor & Francis

Analysis of Questionnaire Data with R

9781439817667 26.09.2011 Oprawa: twarda

£ 59,99

Bruno Falissard

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data.

Taylor & Francis

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Applied Medical Statistics Using SAS

9781439867976 30.10.2012 Oprawa: twarda

£ 57,99

Geoff Der

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data. Features

Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation

Illustrates methods of randomisation that might be employed for clinical trials

Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation

Taylor & Francis

Applied Reliability

9781584884668 26.08.2011 Oprawa: twarda

£ 63,99

David C. Trindade

Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis. Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages-Minitab and SAS JMP-the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling.

Taylor & Francis

Applied Survey Data Analysis

9781420080667 07.04.2010 Oprawa: twarda

£ 52,99

Steven G. Heeringa

Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available software procedures while reinforcing the principles and theory that underlie those methods. After introducing a step-by-step process for approaching a survey analysis problem, the book presents the fundamental features of complex sample designs and shows how to integrate design characteristics into the statistical methods and software for survey estimation and inference. The authors then focus on the methods and models used in analyzing continuous, categorical, and count-dependent variables; event history; and missing data problems. Some of the techniques discussed include univariate descriptive and simple bivariate analyses, the linear regression model, generalized linear regression modeling methods, the Cox proportional hazards model, discrete time models, and the multiple imputation analysis method.

Taylor & Francis

Bayesian Computation with R

9780387922973 01.06.2009 Oprawa: miękka

€ 44,95

Jim Albert

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling.

Springer

Bayesian Programming

9781439880326 06.10.2013 Oprawa: twarda

£ 57,99

Pierre Bessiere

To create a complete computing Bayesian framework, a new modeling methodology is needed to build probabilistic models; new inference algorithms are required to automate probabilistic calculus; and new programming languages are sought to implement these models on computers; eventually, new hardware will also be necessary to run these Bayesian programs efficiently. This book describes the current first steps toward the ultimate goal of creating a Bayesian computer. Written by leading researchers, the text focuses on Bayesian programming and requires only basic knowledge of mathematics, making it accessible to non-experts. It presents applications from various areas such as robotics.

Taylor & Francis

Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

9781119964001 04.01.2013 Oprawa: twarda

£ 60,00

Ingvar Eidhammer

The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. Is illustrated by a large number of figures and examples as well as numerous exercises. Provides both clear and rigorous descriptions of methods and approaches.

Wiley

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Computational Statistics

9780470533314 07.12.2012 Oprawa: twarda

£ 83,50

Geof H. Givens

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field:

Optimization

Integration and Simulation

Bootstrapping

Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

Wiley

Data Analysis and Graphics Using R: An Example-Based Approach

9780521762939 06.05.2010 Oprawa: twarda

£ 50,00

John Maindonald

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.

Cambridge University Press

Data Management Using Stata: A Practical Handbook

9781597180764 08.07.2010 Oprawa: miękka

£ 44,99

Michael N. Mitchell

Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.

Taylor & Francis

Data Manipulation with R

9780387747309 07.04.2008 Oprawa: miękka

€ 59,95

Phil Spector

This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided.

Springer

Data Mining with Rattle and R

9781441998897 25.02.2011 Oprawa: miękka

€ 54,95

Graham Williams

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. This book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. "Coupling Rattle with R" delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Springer

Dynamic Prediction in Clinical Survival Analysis

9781439835333 10.11.2011 Oprawa: twarda

£ 59,99

Hans van Houwelingen

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models. Designed to be useful to applied statisticians and clinical epidemiologists, each chapter in the book has a practical focus on the issues of working with real life data. Chapters conclude with additional material either on the interpretation of the models, alternative models, or theoretical background.

Taylor & Francis

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Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

9781466586888 15.09.2013 Oprawa: twarda

£ 82,00

Scott Pardo

This work provides readers with a set of statistical methods useful for demonstrating equivalence or noninferiority of new or revised systems either compared to previously existing systems or previously established performance guidelines. These tests are often performed in the context of process or product validation. The author describes all the necessary calculations, which can be made using software such as Minitab or JMP. Fully worked examples are provided for each method.

Taylor & Francis

Flexible Parametric Survival Analysis Using Stata

9781597180795 15.08.2011 Oprawa: miękka

£ 49,99

Patrick Royston

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Taylor & Francis

Foundations of Interconnection Networks

9781466559424 05.12.2013 Oprawa: twarda

£ 57,99

A.Yavuz Oruc

Suitable for researchers and graduate students in computer science, electrical engineering, and applied mathematics, this book presents a concise yet complete account of the most significant results in interconnection network theory. The authors give a mathematical classification and characterization of the key interconnection functions of networks and establish their switching factor complexities using combinatorial methods. The text leads readers through the historical development, covering major contributions from Shannon, Clos, Benes, Cantor, Pinsker, and Margulis. It also explores recent results, such as quantum switching networks.

Taylor & Francis

Ggplot2

9780387981406 07.08.2009 Oprawa: miękka

€ 52,95

Hadley Wickham

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to:

produce handsome, publication-quality plots, with automatic legends created from the plot specification

superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales

add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression

save any ggplot2 plot (or part thereof) for later modification or reuse

create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots

Springer

Guidebook to R Graphics Using Microsoft Windows

9781118026397 30.03.2012 Oprawa: miękka

£ 46,95

Kunio Takezawa

This book introduces the graphical capabilities of R to readers new to the software, taking readers step by step through the process of creating histograms, boxplots, strip charts, time series graphs, steam-and-leaf displays, scatterplot matrices, and map graphs. Throughout the book, concise explanations of key concepts of R graphics assist readers in carrying out the presented procedures. The discussed techniques are accompanied by a wealth of screenshots and graphics with related R code available on the book's FTP site, and numerous exercises allow readers to test their understanding of the presented material.

Wiley

Handbook of Partial Least Squares: Concepts, Methods and Applications in

9783540328254 30.05.2007 Oprawa: twarda

€ 286

Vincenzo Esposito Vinzi

This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

Springer

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Handbook of SAS Data Step Programming

9781466552388 10.05.2013 Oprawa: twarda

£ 38,99

Arthur Li

To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. The book helps novices avoid common mistakes resulting from a lack of understanding fundamental and unique SAS programming concepts. It explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. The author also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution. Understanding the DATA steps, particularly the program data vector (PDV), is critical to proper data manipulation and management in SAS. This book helps SAS programmers thoroughly grasp the concept of DATA step processing and write accurate programs in the DATA step.

Taylor & Francis

Image Statistics and Computer Graphics

9781568817255 06.11.2013 Oprawa: twarda

£ 44,99

Tania Pouli

The statistics of natural images have attracted the attention of researchers in a variety of fields as a means to better understand the human visual system and its processes. A number of algorithms in computer graphics and vision and image processing take advantage of such statistical findings to create visually more plausible results. This book explores the state of the art in image statistics and discusses existing and potential applications within computer graphics and related areas.

Taylor & Francis

Industrial Statistics with Minitab

9780470972755 14.09.2012 Oprawa: twarda

£ 55,00

Pere Grima Cintas

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. Industrial Statistics with MINITAB : Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry. Explores statistical techniques and how they can be used effectively with the help of MINITAB 16. Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge. Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects.

Wiley

Introducing Monte Carlo Methods with R

9781441915757 07.12.2009 Oprawa: miękka

€ 54,95

Christian P. Robert (INSEE, Malakoff, France)

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison. While this book constitutes a comprehensive treatment of simulation methods, the theoretical justification of those methods has been considerably reduced, compared with Robert and Casella (2004). Similarly, the more exploratory and less stable solutions are not covered here. This book does not require a preliminary exposure to the R programming language or to Monte Carlo methods, nor an advanced mathematical background. While many examples are set within a Bayesian framework, advanced expertise in Bayesian statistics is not required.

Springer

Introduction to Digital Systems: Modeling, Synthesis, and Simulation

9780470900550 22.07.2011 Oprawa: twarda

£ 76,95

Mohammed Ferdjallah

A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL introduces the application of modeling and synthesis in the effective design of digital systems and explains applicable analytical and computational methods. Through step-by-step explanations and numerous examples, the author equips readers with the tools needed to model, synthesize, and simulate digital principles using Very High Speed Integrated Circuit Hardware Description Language (VHDL) programming. Extensively classroom-tested to ensure a fluid presentation, this book provides a comprehensive overview of the topic by integrating theoretical principles, discrete mathematical models, computer simulations, and basic methods of analysis.

Wiley

Large-Scale Inverse Problems and Quantification of Uncertainty

9780470697436 05.11.2010 Oprawa: twarda

£ 79,95

Lorenz T. Biegler

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other

Wiley

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    Statystyka obliczeniowa

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Making Sense of Data Set

9781118395141 30.03.2012 Oprawa: miękka

£ 153,00

Glenn J. Myatt

Wiley

Maximum Likelihood Estimation with Stata

9781597180788 15.11.2010 Oprawa: miękka

£ 49,99

William Gould

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata. The book begins with an introduction to the theory of maximum likelihood estimation with particular attention on the practical implications for applied work. Individual chapters then describe in detail each of the four types of likelihood evaluator programs and provide numerous examples, such as logit and probit regression, Weibull regression, random-effects linear regression, and the Cox proportional hazards model. Later chapters and appendixes provide additional details about the ml command, provide checklists to follow when writing evaluators, and show how to write your own estimation commands.

Taylor & Francis

Methods of Statistical Model Estimation

9781439858028 08.07.2013 Oprawa: twarda

£ 57,99

Joseph M. Hilbe

Methods of Statistical Model Estimation provides readers with an examination of the major methods used by researchers and programmers to estimate statistical model parameters and associated statistics. Designed for R programmers, the book is also suitable for anyone wanting to better understand the optimization algorithms used for model estimation. The text focuses on R programming code for the estimation of a variety of regression procedures using maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed code is constructed in the book for each of the discussed methods of estimation, including working code for OLS regression, a near complete generalized linear models function, one- and two-parameter maximum likelihood models for both pooled and panel models, a random effects model estimated using the EM algorithm, and a Bayesian Poisson model using Metropolis-Hastings sampling. The authors also discuss a number of ancillary issues.

Taylor & Francis

Modeling and Simulation Fundamentals: Theoretical

9780470486740 14.05.2010 Oprawa: twarda

£ 76,50

John A. Sokolowski

An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation.

Wiley

Modern Signal Processing

9780521158213 15.07.2010 Oprawa: miękka

£ 32,99

Daniel N. Rockmore

Signal processing is everywhere in modern technology. Its mathematical basis and many areas of application are the subject of this 2004 book, based on a series of graduate-level lectures held at the Mathematical Sciences Research Institute. Emphasis is on challenges in the subject, particular techniques adapted to particular technologies, and certain advances in algorithms and theory. The book covers two main areas: computational harmonic analysis, envisioned as a technology for efficiently analysing real data using inherent symmetries; and the challenges inherent in the acquisition, processing and analysis of images and sensing data in general [EMDASH] ranging from sonar on a submarine to a neuroscientist's fMRI study.

Cambridge University Press

Multivariate Survival and Competing Risks

9781439875216 17.05.2012 Oprawa: twarda

£ 63,99

Martin J. Crowder

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

Taylor & Francis

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Network and Adaptive Sampling Techniques

9781466577565 22.06.2013 Oprawa: twarda

£ 49,99

Arijit Chaudhuri

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods.

Taylor & Francis

Numerical Methods of Statistics

9780521139519 18.04.2011 Oprawa: miękka

£ 36,99

John F. Monahan

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.

Cambridge University Press

Practical Statistical Methods: A SAS Programming Approach

9781439812822 25.04.2011 Oprawa: twarda

£ 52,99

Lakshmi Padgett

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

Taylor & Francis

Probability and Statistics for Computer Scientists

9781439875902 15.08.2013 Oprawa: twarda

£ 63,99

Michael Baron

Presenting probability and statistical methods, simulation techniques, and modeling tools, this book helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, compute probabilities and forecasts, and evaluate performance of computer systems and networks. It covers how to read a word problem or a corporate report, realize the uncertainty involved in the described situation, select a suitable probability model, estimate and test its parameters based on real data, compute probabilities, and make appropriate conclusions. This edition features over 100 pages of new material covering categorical data analysis, nonparametric tests, and regression diagnostics.

Taylor & Francis

Quasi-Least Squares Regression

9781420099935 06.12.2013 Oprawa: twarda

£ 57,99

Justine Shults

Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, this book presents a comprehensive treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present an overview and detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS also allows for improved analysis with an unstructured correlation matrix. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE.

Taylor & Francis

R for SAS and SPSS Users

9781461406846 23.07.2011 Oprawa: twarda

€ 89,95

Robert A. Muenchen

R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.

Springer

    Statystyka komputerowa

www.abe.pl 9

R for Statistics

9781439881453 17.04.2012 Oprawa: miękka

£ 34,99

Pierre-Andre Cornillon

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples. Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Focusing on the R software, the first section covers: Basic elements of the R software and data processing Clear, concise visualization of results, using simple and complex graphs Programming basics: pre-defined and user-created functions The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: Regression methods Analyses of variance and covariance Classification methods Exploratory multivariate analysis Clustering methods Hypothesis tests After a short presentation of the method, the book explicitly details the R command lines and gives commented results.

Taylor & Francis

R Graphics

9781439831762 07.06.2011 Oprawa: twarda

£ 52,99

Paul Murrell

Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte and seasoned users master the intricacies of R graphics. New in the Second Edition Updated information on the core graphics engine, the traditional graphics system, the grid graphics system, and the lattice package A new chapter on the ggplot2 package New chapters on applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs Organized into five parts, R Graphics covers both "traditional" and newer, R-specific graphics systems. The book reviews the graphics facilities of the R language and describes R's powerful grid graphics system. It then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of the major areas of application for R graphics and the major extensions of R graphics.

Taylor & Francis

Solving Differential Equations in R

9783642280696 07.06.2012 Oprawa: miękka

€ 49,95

Karline Soetaert

Mathematics plays an important role in many scientific and engineering disciplines. This book deals with the numerical solution of differential equations, a very important branch of mathematics. Our aim is to give a practical and theoretical account of how to solve a large variety of differential equations, comprising ordinary differential equations, initial value problems and boundary value problems, differential algebraic equations, partial differential equations and delay differential equations. The solution of differential equations using R is the main focus of this book. It is therefore intended for the practitioner, the student and the scientist, who wants to know how to use R for solving differential equations. However, it has been our goal that non-mathematicians should at least understand the basics of the methods, while obtaining entrance into the relevant literature that provides more mathematical background. Therefore, each chapter that deals with R examples is preceded by a chapter where the theory behind the numerical methods being used is introduced.

Springer

Spatial Analysis Along Networks

9780470770818 27.07.2012 Oprawa: twarda

£ 65,00

Atsuyuki Okabe

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET.

Wiley

Statistical Data Mining Using SAS Applications

9781439810750 29.06.2010 Oprawa: twarda

£ 62,99

George Fernandez

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the author's website. By following the step-by-step instructions and downloading the SAS macros, analysts can perform complete data mining analysis fast and effectively. New to the Second Edition-General Features Access to SAS macros directly from desktop Compatible with SAS version 9, SAS Enterprise Guide, and SAS Learning Edition Reorganization of all help files to an appendix Ability to create publication quality graphics Macro-call error check New Features in These SAS-Specific Macro Applications Converting PC data files to SAS data (EXLSAS2 macro) Randomly splitting data (RANSPLIT2) Frequency analysis (FREQ2) Univariate

Taylor & Francis

...

Statistical Inference

9781420093438 01.06.2010 Oprawa: twarda

£ 62,99

Murray Aitkin

This book sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. The author provides both an alternative to standard Bayesian inference and the foundation for a course sequence in modern Bayesian theory at the graduate or advanced undergraduate level. The restriction of the book to evidence is deliberate: there are already many books on Bayesian and non-Bayesian decision theory, and the purpose of this one is less ambitious, but perhaps more relevant scientifically, in providing a detailed prescription for the assessment of statistical evidence.

Taylor & Francis

    Statystyka komputerowa

10 www.abe.pl

Statistical Inference: The Minimum Distance Approach

9781420099652 16.06.2011 Oprawa: twarda

£ 59,99

Ayanendranath Basu

This book gives a comprehensive account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, multisample methods, weighted likelihood, and multinomial goodness-of-it tests. The book also introduces the minimum distance methodology in interdisciplinary areas, such as neural networks and image processing, as well as specialized models and problems, including regression, mixture models, survival and Bayesian analysis, and more.

Taylor & Francis

Statistical Learning and Data Science

9781439867631 18.01.2012 Oprawa: twarda

£ 59,99

Mireille Gettler Summa

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit. Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data.

Taylor & Francis

The R Book

9780470973929 07.12.2012 Oprawa: twarda

£ 60,00

Michael J. Crawley

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: '...if you are an R user or wannabe R user, this text is the one that should be on your shelf.

Wiley

The R Primer

9781439862063 25.08.2011 Oprawa: miękka

£ 26,99

Claus Thorn Ekstrom

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. Rather than explore the many options available for every command as well as the ever-increasing number of packages, the book focuses on the basics of data preparation and analysis and gives examples that can be used as a starting point. The numerous examples illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphics production. Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated. While base R is used throughout, other functions or packages are listed if they cover or extend the functionality. After working through the examples found in this text, new users of R will be able to better handle data analysis and graphics applications in R.

Taylor & Francis

The R Student Companion

9781439875407 10.10.2012 Oprawa: miękka

£ 25,99

Brian Dennis

R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book assumes the reader has just some high school algebra and has no computer programming background. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups. Several of the chapters explore algebra concepts that are highly useful in scientific applications, such as quadratic equations, systems of linear equations, trigonometric functions, and exponential functions. Each chapter provides an instructional review of the algebra concept, followed by a hands-on guide to performing calculations and graphing in R. R is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort.

Taylor & Francis

Transforms and Applications Primer for Engineers with Examples and MATLAB

9781420089318 09.03.2010 Oprawa: twarda

£ 48,99

Alexander D. Poularikas

Transforms and Applications Primer for Engineers with Examples and MATLAB[registered] is required reading for engineering and science students, professionals, and anyone working on problems involving transforms. This invaluable primer contains the most essential integral transforms that both practicing engineers and students need to understand. It provides a large number of examples to explain the use of transforms in different areas, including circuit analysis, differential equations, signals and systems, and mechanical vibrations. It includes an appendix with suggestions and explanations to help you optimize your use of MATLAB Laplace and Fourier transforms are by far the most widely used and most useful of all integral transforms, so they are given a more extensive treatment in this book, compared to other texts that include them. Offering numerous MATLAB functions created by the author, this comprehensive book contains several appendices to complement the main subjects. Perhaps the most important feature is the extensive tables of transforms, which are provided to supplement the learning process.

Taylor & Francis

    Statystyka komputerowa

www.abe.pl 11

Tree-Based Graph Partitioning Constraint

9781848213036 12.07.2011 Oprawa: twarda

£ 63,50

Xavier Lorca

Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and the routing problems occurring in logistics perfectly illustrate two such examples. Nevertheless, these problems are not based on the same partitioning pattern: generally, patterns like cycles, paths, or trees are distinguished. Moreover, the practical applications are often not limited to theoretical problems like the Hamiltonian path problem, or K-node disjoint path problems. Indeed, they usually combine the graph partitioning problem with several restrictions related to the topology of nodes and arcs. The diversity of implied constraints in real-life applications is a practical limit to the resolution of such problems by approaches considering the partitioning problem independently from each additional restriction. This book focuses on constraint satisfaction problems related to tree partitioning problems enriched by several additional constraints that restrict the possible partitions topology. On the one hand, this title focuses on the structural properties of tree partitioning constraints.

Wiley

Understanding Biplots: Methods and Applications of Biplots

9780470012550 24.12.2010 Oprawa: twarda

£ 68,95

John C. Gower

Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and reliable method for the visualization of multidimensional data associated with, for example, principal component analysis, canonical variate analysis, multidimensional scaling, multiplicative interaction and various types of correspondence analysis. Understanding Biplots:

Introduces theory and techniques which can be applied to problems from a variety of areas, including ecology, biostatistics, finance, demography and other social sciences.

Provides novel techniques for the visualization of multidimensional data and includes data mining techniques.

Uses applications from many fields including finance, biostatistics, ecology, demography.

Wiley

Understanding Computational Bayesian Statistics

9780470046098 11.01.2010 Oprawa: twarda

£ 79,50

William M. Bolstad

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model, and the proportional hazards model. The book begins with an outline of the similarities and differences between Bayesian and the likelihood approaches to statistics. Subsequent chapters present key techniques for using computer software to draw Monte Carlo samples from the incompletely known posterior distribution and performing the Bayesian inference calculated from these samples.

Wiley

Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics

9781452217703 02.04.2012 Oprawa: miękka

£ 18,99

Warner

Ideal either as a companion to a traditional statistics or research methods text or as a stand-alone guide, Using SPSS for Research Methods and Social Statistics is a useful reference for those learning to use the SPSS software for the first time or those with only basic knowledge about SPSS. This student-friendly resource shows readers how to use images and directions drawn from SPSS Version 20 and now uses the latest version of the General Social Survey (GSS, 2010) as a secondary data set.

SAGE

Visual Data Mining: The VisMiner Approach

9781119967545 16.11.2012 Oprawa: twarda

£ 45,00

Russell K. Anderson

This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling readers to visually evaluate models created from the data. This book is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. It provides a set of tutorials, exercises, and case studies that support readers in learning data mining processes.

Wiley

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