Nonparametric Bootstrap Tests for the Generalized Behrens-Fisher Problem PDF Download
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Languages : en
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Author: Paul Cotofrei
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Languages : en
Pages : 110
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Author: Tae-Hak Park
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Category :
Languages : en
Pages : 518
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Author: R. Beran
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Category :
Languages : en
Pages : 0
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Author: P. Cotofrei
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Languages : en
Pages : 15
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Author: Rudolf Beran
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Languages : de
Pages : 27
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Author: Markus Neuhauser
Publisher: Chapman and Hall/CRC
ISBN: 9781439867037
Category : Mathematics
Languages : en
Pages : 0
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Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading. The book covers: Nonparametric two-sample tests for the location-shift model, specifically the Fisher-Pitman permutation test, the Wilcoxon rank sum test, and the Baumgartner-Weiss-Schindler test Permutation tests, location-scale tests, tests for the nonparametric Behrens-Fisher problem, and tests for a difference in variability Tests for the general alternative, including the (Kolmogorov-)Smirnov test, ordered categorical, and discrete numerical data Well-known one-sample tests such as the sign test and Wilcoxon’s signed rank test, a modification suggested by Pratt (1959), a permutation test with original observations, and a one-sample bootstrap test are presented. Tests for more than two groups, the following tests are described in detail: the Kruskal-Wallis test, the permutation F test, the Jonckheere-Terpstra trend test, tests for umbrella alternatives, and the Friedman and Page tests for multiple dependent groups The concepts of independence and correlation, and stratified tests such as the van Elteren test and combination tests The applicability of computer-intensive methods such as bootstrap and permutation tests for non-standard situations and complex designs Although the major development of nonparametric methods came to a certain end in the 1970s, their importance undoubtedly persists. What is still needed is a computer assisted evaluation of their main properties. This book closes that gap.
Author: Tae-Hak Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 502
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Author: Thorsten Dickhaus
Publisher: Springer
ISBN: 3319763156
Category : Mathematics
Languages : en
Pages : 134
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This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.
Author: Denis Larocque
Publisher:
ISBN:
Category :
Languages : en
Pages : 16
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