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Titlebook: Resampling Methods; A Practical Guide to Phillip I. Good Textbook 2006Latest edition Birkhäuser Boston 2006 Analysis.Excel.MATLAB.Permutati

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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Titlebook: Resampling Methods; A Practical Guide to Phillip I. Good Textbook 2006Latest edition Birkhäuser Boston 2006 Analysis.Excel.MATLAB.Permutati
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
doihttps://doi.org/10.1007/0-8176-4444-X
isbn_ebook978-0-8176-4444-4
copyrightBirkhäuser Boston 2006
The information of publication is updating

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Multiple Variables and Multiple Hypotheses,ect. You learned how to detect clustering in time and space and to validate clustering models. You used the generalized quadratic form in its several guises including Mantel’s . and Mielke’s multiresponse permutation procedure (MRPP) to work through applications in archaeology, epidemiology, and orn
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Model Building,ificance of model coefficients and for deriving the associated confidence intervals. You learned it is essential to distinguish between goodness of fit and prediction, and were provided with a variety of cross-validation resampling methods to tie the two together.
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e of classification, estimation, experimental design, hypoth.".…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 Seco
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