The top documents tagged [unknown distribution]

An Introduction to Bootstrap
Documents An Introduction to Bootstrap

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The Average Case Complexity of Counting Distinct Elements David Woodruff IBM Almaden
Documents The Average Case Complexity of Counting Distinct Elements David Woodruff IBM Almaden

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DEA and Stochastic Dominance Efficiency Analysis of Investment Portfolios: Do Evironmentally Responsible Mutual Funds Diversify Efficiently? Timo Kuosmanen
Documents DEA and Stochastic Dominance Efficiency Analysis of Investment Portfolios: Do Evironmentally Responsible Mutual Funds Diversify Efficiently? Timo Kuosmanen

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Efficient Portfolio Diversification according to Stochastic Dominance Criteria: Applications to Mixed-Asset Forest Portfolio Management and Environmentally
Documents Efficient Portfolio Diversification according to Stochastic Dominance Criteria: Applications to Mixed-Asset Forest Portfolio Management and Environmentally

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Using Stochastic Dominance criteria in Data Envelopment Analysis of mutual funds Timo Kuosmanen Wageningen University, The Netherlands EURO / INFORMS joint
Documents Using Stochastic Dominance criteria in Data Envelopment Analysis of mutual funds Timo Kuosmanen Wageningen University, The Netherlands EURO / INFORMS joint

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Discovering Unrevealed Properties of Probability Estimation Trees: on Algorithm Selection and Performance Explanation Discovering Unrevealed Properties
Documents Discovering Unrevealed Properties of Probability Estimation Trees: on Algorithm Selection and Performance Explanation Discovering Unrevealed Properties

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Type I and Type II errors. Example 8.2: Type I/II Errors The drying time of paint under a specified test conditions is known to be normally distributed
Documents Type I and Type II errors. Example 8.2: Type I/II Errors The drying time of paint under a specified test conditions is known to be normally distributed

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Markov Chain Sampling Methods for Dirichlet Process Mixture Models R.M. Neal Summarized by Joon Shik Kim 12.03.15.(Thu) Computational Models of Intelligence
Documents Markov Chain Sampling Methods for Dirichlet Process Mixture Models R.M. Neal Summarized by Joon Shik Kim 12.03.15.(Thu) Computational Models of Intelligence

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VC Dimension – definition and impossibility result Lecturer: Yishay Mansour Eran Nir and Ido Trivizki
Documents VC Dimension – definition and impossibility result Lecturer: Yishay Mansour Eran Nir and Ido Trivizki

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March 29, 2011 An overview of ADME Studies Dale E. Sharp, PhD, DABT Boehringer Ingelheim Pharmaceuticals Inc
Documents March 29, 2011 An overview of ADME Studies Dale E. Sharp, PhD, DABT Boehringer Ingelheim Pharmaceuticals Inc

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The Campbell Collaboration Computing Random Effects Models in Meta-analysis Terri Pigott, C2 Methods Editor & co-Chair Professor,
Documents The Campbell Collaboration Computing Random Effects Models in Meta-analysis Terri Pigott, C2 Methods Editor & co-Chair Professor,

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Computer Intensive Statistical Methods
Education Computer Intensive Statistical Methods

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