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Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations
Authors: ---
ISBN: 0198523963 9780198523963 Year: 1997 Volume: 18 Publisher: Oxford Clarendon

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Abstract

Here is a clear exposition of nonparametric smoothing methods for statisticians. The focus is applied rather than theoretical, with a large number of illustrations from different disciplines.

Nonparametric smoothing and lack-of-fit tests.
Author:
ISBN: 0387949801 1475727240 1475727224 9780387949802 Year: 1997 Publisher: New York (N.Y.) Springer

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Abstract

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.

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