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Nonparametric Smoothing and Lack-of-Fit Tests

  • Jeffrey D. Hart

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Jeffrey D. Hart
    Pages 1-3
  3. Jeffrey D. Hart
    Pages 4-49
  4. Jeffrey D. Hart
    Pages 50-83
  5. Jeffrey D. Hart
    Pages 84-116
  6. Jeffrey D. Hart
    Pages 117-143
  7. Jeffrey D. Hart
    Pages 144-163
  8. Jeffrey D. Hart
    Pages 226-252
  9. Jeffrey D. Hart
    Pages 253-266
  10. Back Matter
    Pages 267-289

About this book

Introduction

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.

Keywords

Calc Mathematica Scope calculus design distribution eXist kernel knowledge mathematical statistics model review selection statistics testing

Authors and affiliations

  • Jeffrey D. Hart
    • 1
  1. 1.Department of StatisticsTexas A&M UniversityCollege StationUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-2722-7
  • Copyright Information Springer-Verlag New York 1997
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-2724-1
  • Online ISBN 978-1-4757-2722-7
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site