| 期刊全称 | A Chronicle of Permutation Statistical Methods | | 期刊简称 | 1920–2000, and Beyon | | 影响因子2023 | Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke | | 视频video | | | 发行地址 | A unique approach to explaining statistics by developing the history and establishing the rigor of a topic.The first historical approach to this field and its development.An extensive historical bibli | | 图书封面 |  | | 影响因子 | .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.. | | Pindex | Book 2014 |
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发表于 2025-3-21 18:34:40
