{"product_id":"a-primer-of-permutation-statistical-methods-2019","title":"A Primer of Permutation Statistical Methods","description":"\u003cp\u003e\"A Primer of Permutation Statistical Methods\" by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr. is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.\u003c\/p\u003e\n\u003cp\u003eThe 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":46416724754631,"sku":"1-99-510-002512","price":119.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0736\/9575\/6487\/files\/9783030209322.jpg?v=1776280622","url":"https:\/\/snowflakeskies.com\/products\/a-primer-of-permutation-statistical-methods-2019","provider":"Snowflake Skies","version":"1.0","type":"link"}