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＜電子ブック＞
A Chronicle of Permutation Statistical Methods : 1920–2000, and Beyond / by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr

版	1st ed. 2014.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2014
本文言語	英語
大きさ	XIX, 517 p. 51 illus : online resource
著者標目	*Berry, Kenneth J author Johnston, Janis E author Mielke Jr., Paul W author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Mathematics LCSH:History FREE:Statistics FREE:History of Mathematical Sciences
一般注記	Preface -- 1.Introduction -- 2.1920–1939 -- 3.1940–1959 -- 4.1960–1979 -- 5.1980–2000 -- 6.Beyond 2000 -- Epilogue -- References -- Acronyms -- Name Index -- Subject Index The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, includingmultiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels HTTP:URL=https://doi.org/10.1007/978-3-319-02744-9

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