Над 4 милиона заглавия на английски и други езици! Открийте новата си история още днес! Безплатна доставка за поръчки над 69.99€

Виж статуса на поръчката

Свържете се с нас

Primer of Permutation Statistical Methods

Name: Primer of Permutation Statistical Methods
Brand: Springer Nature Switzerland AG
SKU: 9783030209353
Price: 82.29 EUR
Availability: InStock

Автор: Janis E. Johnston, Jr. Mielke

Език:

Корици: С меки корици

Издател: Springer Nature Switzerland AG

Наличност: Външен склад

Изпращаме след 5-8 дни

82.29 € 160.94 лв

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary perm...

Информация за книгата

Автор

Janis E. Johnston, Jr. Mielke

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

476

EAN

9783030209353

ISBN

3030209350

Enbook ID

33089303

Издател

Springer Nature Switzerland AG

Теглоt

759

Размери

155 x 235 x 27

Пълно описание

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.