| 书目名称 | Resampling Methods | | 副标题 | A Practical Guide to | | 编辑 | Phillip I. Good | | 视频video | | | 概述 | Includes supplementary material: | | 图书封面 |  | | 描述 | ."Most introductory statistics books ignore or give little attention to resampling methods, and thus another generation learns the less than optimal methods of statistical analysis. Good attempts to remedy this situation by writing an introductory text that focuses on resampling methods, and he does it well."..— Ron C. Fryxell, Albion College.."...The wealth of the bibliography covers a wide range of disciplines."..---Dr. Dimitris Karlis, Athens University of Economics...This thoroughly revised second edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It is an essential resource for industrial statisticians, statistical consultants, and research professionals in science, engineering, and technology...Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. ..Topics and Features:..* Offers more practical examples plus an additional chapter dedicated to regression and data mining techniques and their limitations..* Uses resampling approach to introduction statistics..* A practical prese | | 出版日期 | Book 20012nd edition | | 关键词 | Applied Science; Descriptive statistics; Excel; Industrial Statistics; Nonparametric Statistics; Permutat | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4757-3425-6 | | isbn_ebook | 978-1-4757-3425-6 | | copyright | Springer Science+Business Media New York 2001 |
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发表于 2025-3-21 17:45:56
