Nonparametric Smoothing and Lack-of-Fit Tests

Description

The The primary primary aim aim of of this this book book is is to to explore explore the the use use of of nonparametric nonparametric regres­ regres­ sion sion (i. e. , (i. e. , smoothing) smoothing) methodology methodology in in testing testing the the fit fit of of parametric parametric regression regression models. models. It It is is anticipated anticipated that that the the book book will will be be of of interest interest to to an an audience audience of of graduate graduate students, students, researchers researchers and and practitioners practitioners who who study study or or use use smooth­ smooth­ ing ing methodology. methodology. Chapters Chapters 2-4 2-4 serve serve as as a a general general introduction introduction to to smoothing smoothing in in the the case case of of a a single single design design variable. variable. The The emphasis emphasis in in these these chapters chapters is is on on estimation estimation of of regression regression curves, curves, with with hardly hardly any any mention mention of of the the lack-of­ lack-of­ fit fit problem. problem. As As such, such, Chapters Chapters 2-4 2-4 could could be be used used as as the the foundation foundation of of a a graduate graduate level level statistics statistics course course on on nonparametric nonparametric regression. regression. Front Matter....Pages i-xii Introduction....Pages 1-3 Some Basic Ideas of Smoothing....Pages 4-49 Statistical Properties of Smoothers....Pages 50-83 Data-Driven Choice of Smoothing Parameters....Pages 84-116 Classical Lack-of-Fit Tests....Pages 117-143 Lack-of-Fit Tests Based on Linear Smoothers....Pages 144-163 Testing for Association via Automated Order Selection....Pages 164-207 Data-Driven Lack-of-Fit Tests for General Parametric Models....Pages 208-225 Extending the Scope of Application....Pages 226-252 Some Examples....Pages 253-266 Back Matter....Pages 267-289