| 书目名称 | Permutation Statistical Methods with R | | 编辑 | Kenneth J. Berry,Kenneth L. Kvamme,Paul W. Mielke, | | 视频video | | | 概述 | Gives an overview of statistical permutation methods.Provides associated scripts in the R programming language.Presents comparisons of permutation and classical statistical methods | | 图书封面 |  | | 描述 | .This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency..Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relative | | 出版日期 | Textbook 2021 | | 关键词 | Permutation; One-sample tests; Two-sample tests; Matched-pairs Tests; one-way analysis of variance; rando | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-74361-1 | | isbn_softcover | 978-3-030-74363-5 | | isbn_ebook | 978-3-030-74361-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:35:57
