<電子ブック>
Statistical Methods for Ranking Data / by Mayer Alvo, Philip L.H. Yu
(Frontiers in Probability and the Statistical Sciences. ISSN:26249995)
版 | 1st ed. 2014. |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 2014 |
本文言語 | 英語 |
大きさ | XI, 273 p. 22 illus., 4 illus. in color : online resource |
著者標目 | *Alvo, Mayer author Yu, Philip L.H author SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Mathematical statistics -- Data processing 全ての件名で検索 LCSH:Data mining FREE:Statistical Theory and Methods FREE:Statistics FREE:Statistics and Computing FREE:Data Mining and Knowledge Discovery |
一般注記 | Introduction -- Exploratory Analysis of Ranking Data -- Correlation Analysis of Paired Ranking Data -- Testing for randomness, agreement and interaction -- Block Designs -- General Theory of Hypothesis Testing -- Testing for Ordered Alternatives -- Probability Models for Ranking Data -- Probit Models for Ranking Data -- Decision Tree Models for Ranking Data -- Extension of Distance-Based Models for Ranking Data -- Appendix A: Ranking Data Sets -- Appendix B: Limit Theorems -- Appendix C: Review on Decision Trees This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website HTTP:URL=https://doi.org/10.1007/978-1-4939-1471-5 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781493914715 |
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EB00234275 |
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