Semiparametric Regression. [electronic resource]

• 作者： Ruppert, David.
• 其他作者：
  • Carroll, R. J.
  • Gill, R.
  • Ripley, B. D.
  • Ross, S.
  • Stein, M.
  • Wand, M. P.
  • Williams, D.
  • Ebooks Corporation.
• 出版： Cambridge : Cambridge University Press
• 主題： Electronic books.
• ISBN： 9780511060526 (electronic bk.) 、 9780521780506 (print)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Preface; Guide to Notation; 1 Introduction; 2 Parametric Regression; 3 Scatterplot Smoothing; 4 Mixed Models; 5 Automatic Scatterplot Smoothing; 6 Inference; 7 Simple Semiparametric Models; 8 Additive Models; 9 Semiparametric Mixed Models; 10 Generalized Parametric Regression; 11 Generalized Additive Models; 12 Interaction Models; 13 Bivariate Smoothing; 14 Variance Function Estimation; 15 Measurement Error; 16 Bayesian Semiparametric Regression; 17 Spatially Adaptive Smoothing; 18 Analyses; 19 Epilogue A Technical ComplementsB Computational Issues; Bibliography; Author Index; Notation Index; Example Index; Subject Index
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• 摘要註: Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software.
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