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商品詳細
Bayesian and Frequentist Regression Methods. Softcover reprint of the original 1st ed. 2013.
・ISBN 978-1-4939-3862-9 paper EUR 119.99
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★★★
| 著者・編者 | Wakefield, Jon, |
|---|---|
| シリーズ | Springer Series in Statistics |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2016 |
| ページ数 | 697 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-1836＞ |
解説
Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place.
The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.
The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.