A Chronicle of Permutation Statistical Methods : 1920–2000, and Beyond

種類:

電子ブック

責任表示:

by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2014

著者名:

• Berry, Kenneth J.
• Johnston, Janis E.
• Mielke Jr., Paul W.
• SpringerLink (Online service)

ISBN:

9783319027449 [3319027441]    

注記:

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, including multiple correlation and regression, ana

ローカル注記:

学内専用E-BOOKS (local access only)