A Chronicle of Permutation Statistical Methods

1920–2000, and Beyond

Nonfiction, Science & Nature, Mathematics, History, Statistics
Cover of the book A Chronicle of Permutation Statistical Methods by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr., Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr. ISBN: 9783319027449
Publisher: Springer International Publishing Publication: April 11, 2014
Imprint: Springer Language: English
Author: Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
ISBN: 9783319027449
Publisher: Springer International Publishing
Publication: April 11, 2014
Imprint: Springer
Language: English

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, 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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, 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.

More books from Springer International Publishing

Cover of the book Heat Shock Proteins in the Immune System by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Sustainable Electricity by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Rotating Machinery, Vibro-Acoustics & Laser Vibrometry, Volume 7 by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Using Transparency Against Corruption in Public Procurement by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Modelling Foundations and Applications by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Reactive Power Control in AC Power Systems by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book The Development of a 2D Ultrasonic Array Inspection for Single Crystal Turbine Blades by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Dual-Feasible Functions for Integer Programming and Combinatorial Optimization by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Psychoneuroimmunology by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Analytical Finance: Volume I by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Computational Biomechanics for Medicine by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Synergies Between Knowledge Engineering and Software Engineering by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Advanced Concepts for Intelligent Vision Systems by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Raw Materials Substitution Sustainability by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
Cover of the book Advances in Multimedia Information Processing -- PCM 2015 by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr.
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy