Semiparametric Regression with R. 1st ed. 2018

種類:

電子ブック

責任表示:

by Jaroslaw Harezlak, David Ruppert, Matt P. Wand

出版情報:

New York, NY : Springer New York : Imprint: Springer, 2018

著者名:

• Harezlak, Jaroslaw.
• Ruppert, David.
• Wand, Matt P.
• SpringerLink (Online service)

シリーズ名:

Use R! ;

ISBN:

9781493988532 [1493988530]    

注記:

Introduction -- Penalized Splines -- Generalized Additive Models -- Semiparametric Regression Analysis of Grouped Data -- Bivariate Function Extensions -- Selection of Additional Topics.-Index.
This easy-to-follow applied book expands upon the authors’ prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. Carroll, which introduced the techniques and benefits of semiparametric regression in a concise and user-friendly fashion. Fifteen years later, semiparametric regression is applied widely, powerful new methodology is continually being developed, and advances in the R computing environment make it easier than ever before to carry out analyses. Semiparametric Regression with R introduces the basic concepts of semiparametric regression with a focus on applications and R software. This volume features case studies from environmental, economic, financial, and other fields. The examples and corresponding code can be used or adapted to apply semiparametric regression to a wide range of problems. It contains more than fifty exercises, and the accompanying HRW package contains all datasets and scripts used in

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