Nonparametric Smoothing and Lack-of-Fit Tests (Springer Series in Statistics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Detalles bibliogr�ficos

T�tulo: Nonparametric Smoothing and Lack-of-Fit Tests (Springer Series in Statistics)
Editor: Springer 31 J
Fecha de publicaci�n: 1997
Idioma: Ingl�s
ISBN 10: 0387949801
ISBN 13: 9780387949802
Encuadernaci�n: Hardcover
Estado: Very Good

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Sinopsis

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 new 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.

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