书目名称 | Resampling Methods | 副标题 | A Practical Guide to | 编辑 | Phillip I. Good | 视频video | | 概述 | Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work.Detailed coverage of classification, estimation, experimental design, hypoth | 图书封面 |  | 描述 | .".…the author has packaged an excellent and modern set of topics around the development and use of quantitative models.... If you need to learn about resampling, this book would be a good place to start.." Technometrics (Review of the Second Edition)..This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware...Topics and Features..- Practical presentation covers both the bootstrap and permutations along with the program code necessary to put them to work...- Includes a systematic guide to selecting the correct procedure for a particular application. .- Detailed coverage of classification, estimation, experimental design, hypothesis testing, and modeling. .- Suitable for both classroom use and individual self-study. .New to the Third Edition .- Procedures are grouped by application; a prefatory chapter guides readers to the appropriate reading matter...- Program listings and screen shots | 出版日期 | Textbook 2006Latest edition | 关键词 | Analysis; Excel; MATLAB; Permutation; Resampling; SAS; Stata; classification; data analysis; model; modeling; p | 版次 | 3 | doi | https://doi.org/10.1007/0-8176-4444-X | isbn_ebook | 978-0-8176-4444-4 | copyright | Birkhäuser Boston 2006 |
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