| 期刊全稱(chēng) | Bayesian and Frequentist Regression Methods | | 影響因子2023 | Jon Wakefield | | 視頻video | http://file.papertrans.cn/182/181890/181890.mp4 | | 發(fā)行地址 | Provides a balanced, modern summary of Bayesian and frequentist methods for regression analysis.A book website contains R code to reproduce all of the analyses and figures in the book: http://faculty. | | 學(xué)科分類(lèi) | Springer Series in Statistics | | 圖書(shū)封面 |  | | 影響因子 | .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.. | | Pindex | Textbook 2013 |
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