{"product_id":"9781119438236-permutation-tests-for-complex-data-2e-c","title":"Permutation Tests for Complex Data","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eTheory, Applications and Software\u003cbr\u003e\u003cp\u003e\u003cb\u003eTIMELY UPDATE OF A POPULAR EDITION ON PERMUTATION TESTING WITH NUMEROUS CASE STUDIES INCLUDED THROUGHOUT\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe newly revised and updated Second Edition of \u003ci\u003ePermutation Tests for Complex Data\u003c\/i\u003e describes permutation tests from the point of view of experimental design, with methodological details and illustrating the process of devising an appropriate permutation test through case studies. In addition to the text, this book includes two open source packages for permutation tests in Python and R which include a comprehensive code base to implement common permutation tests as well as code to implement each of the book’s case studies. \u003c\/p\u003e\n\u003cp\u003eThe focus of this book is the permutation approach to a variety of univariate and multivariate problems of hypothesis testing in a typical nonparametric framework. The book examines the most up-to-date methodologies of univariate and multivariate permutation testing, includes real case studies from both experimental and observational studies, and presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. \u003c\/p\u003e\n\u003cp\u003eWritten by two highly qualified authors in the field of nonparametrics and applied statistics, \u003ci\u003ePermutation Tests for Complex Data\u003c\/i\u003e includes information on sample topics including: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTheory of one-dimensional and multi-dimensional permutation tests, covering test statistics, arguments for selecting permutation tests, and examples of one-sample and multi-sample problems\u003c\/li\u003e\n\u003cli\u003eMultiplicity control and closed testing, covering raw and adjusted p-values, the MinP Bonferroni-Holm procedure, and weighted methods for controlling FWE and FDR\u003c\/li\u003e\n\u003cli\u003eMultivariate categorical variables, covering stochastic ordering, tests on moments for ordered variables, and heterogeneity comparisons\u003c\/li\u003e\n\u003cli\u003eNPC tests for survival analysis and shape analysis, covering analysis of PERC data and analysis with correlated landmarks\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePresenting a thorough overview of permutation testing with both formal description and proofs, \u003ci\u003ePermutation Tests for Complex Data\u003c\/i\u003e is an excellent introduction to permutation tests for graduate-level statistics or data science courses and will be ideal as a handbook for researchers hoping to use the open source code.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":56111044690294,"sku":"9781119438236","price":120.54,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_35751456.jpg?v=1755770448","url":"https:\/\/www.rarewaves.com\/products\/9781119438236-permutation-tests-for-complex-data-2e-c","provider":"Rarewaves.com","version":"1.0","type":"link"}