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A Primer of Permutation Statistical Methods

Af: Janis E. Johnston, Kenneth J. Berry, Jr. Mielke Engelsk Paperback

A Primer of Permutation Statistical Methods

Af: Janis E. Johnston, Kenneth J. Berry, Jr. Mielke Engelsk Paperback
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The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size. 

Because permutation tests and measures are distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics. 


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The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size. 

Because permutation tests and measures are distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics. 


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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 476
ISBN-13: 9783030209353
Indbinding: Paperback
Udgave:
ISBN-10: 3030209350
Kategori: Diskret matematik
Udg. Dato: 13 aug 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 13 aug 2020
Forfatter(e): Janis E. Johnston, Kenneth J. Berry, Jr. Mielke
Forfatter(e) Janis E. Johnston, Kenneth J. Berry, Jr. Mielke

Kategori Diskret matematik

ISBN-13 9783030209353

Sprog Engelsk

Indbinding Paperback

Sider 476

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 13 aug 2020

Oplagsdato 13 aug 2020

Forlag Springer Nature Switzerland AG

Kategori sammenhænge