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Permutation Testing for Isotonic Inference on Association Studies in Genetics

regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and;

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Permutation Tests For Complex Data

in observational studies. The Authors give a general overview on permutation tests with afocus on recent theoretical advances within univariate;

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Multivariate Permutation Tests

results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set;

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Nonparametric Statistical Tests

different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods;

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Nonparametric Statistical Tests

different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods;

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Ranking of Multivariate Populations

Ranking of Multivariate Populations: A Permutation Approach with Applications presents a novel permutation-based nonparametric approach for;

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A Primer of Permutation Statistical Methods

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods;

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A Primer of Permutation Statistical Methods

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods;

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Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

introduction to the resampling methods the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays;

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Multivariate Analysis Of Ecological Data

This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests;

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Testing For Normality

Describes the selection, design, theory, and application of tests for normality. Covers robust estim;...

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Testing For Normality

Describes the selection, design, theory, and application of tests for normality. Covers robust estim;...

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Permutation Statistical Methods with R

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range;

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Permutation, Parametric, and Bootstrap Tests of Hypotheses

Previous edition sold over 1400 copies worldwide. This new edition includes many more rea;...

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Practitioner'S Guide To Resampling For Data Analysis, Data M

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used today in virtually every research area;

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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used today in virtually every research area;

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Combinatorial Inference in Geometric Data Analysis

permutation procedures recasting in a combinatorial framework. It focuses particularly on the comparison of a group of observations to a;

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Combinatorial Inference in Geometric Data Analysis

permutation procedures recasting in a combinatorial framework. It focuses particularly on the comparison of a group of observations to a reference;

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Multivariate Statistics

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate;...

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Multivariate Statistics

The authors present tools and concepts of multivariate data analysis by means of exercises and their;...

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Methods of Multivariate Statistics

Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods pr;...

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Contributions to Static and Time-Varying Copula-Based Modeling of Multivariate Association

Putting a particular emphasis on nonparametric methods that rely on modern empirical process techniq;...

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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univar;...

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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univar;...

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The Multivariate Social Scientist

Starting from simple hypothesis testing and then moving towards model-building, this valuable book t;...

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

This book presents recent non-asymptotic results for approximations in multivariate statistical anal;...

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Applied Statistical Science III

CONTENTS: Partially Adaptive Rank and Regression Rank Scores Tests in Linear Models; An Analysis of ;...

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