A Primer of Permutation Statistical Methods, 1st ed. 2019
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.Date de parution : 08-2020
Ouvrage de 476 p.
15.5x23.5 cm
Date de parution : 08-2019
Ouvrage de 476 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 116,04 €
Ajouter au panierThèmes d’A Primer of Permutation Statistical Methods :
Mots-clés :
62gxx, 62-07, 62-03, 01-08, 62axx, Permutation, Exact tests, Monte Carlo tests, Randomization, Moment approximation tests, Contingency tables, combinatorics