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<図書>
Nonparametric smoothing and lack-of-fit tests

責任表示 Jeffrey D. Hart
シリーズ Springer series in statistics
データ種別 図書
出版情報 New York : Springer , 1997
本文言語 英語
大きさ xii, 287 p. : ill. ; 25 cm
概要 An exploration of the use of smoothing methods in testing the fit of parametric regression models. The book reviews many of the existing methods for testing lack-of-fit and also proposes a number of ...ew methods, addressing both applied and theoretical aspects of the model checking problems. As such, the book is of interest to practitioners of statistics and researchers investigating either lack-of-fit tests or nonparametric smoothing ideas. The first four chapters introduce the problem of estimating regression functions by nonparametric smoothers, primarily those of kernel and Fourier series type, and could be used as the foundation for a graduate level course on nonparametric function estimation. The prerequisites for a full appreciation of the book are a modest knowledge of calculus and some familiarity with the basics of mathematical statistics. 続きを見る
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所蔵情報



理系図3F 数理独自 HART/5/1 1997
023211997009321

書誌詳細

一般注記 Includes bibliographical references and indexes
著者標目 *Hart, Jeffrey D.
件 名 LCSH:Smoothing (Statistics)
LCSH:Nonparametric statistics
LCSH:Goodness-of-fit tests
分 類 LCC:QA278
DC21:519.5
NDC8:417
書誌ID 1001403025
ISBN 0387949801
NCID BA3234474X
巻冊次 ISBN:0387949801
登録日 2009.11.02
更新日 2009.11.02

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