Springer Series in Statistics Nonparametric Smoothing and Lack-of-Fit Tests
Type
Book
Authors
ISBN 10
0387949801
ISBN 13
9780387949802
Category
Unknown
[ Browse Items ]
Publication Year
1997
Publisher
Pages
288
Series Name
Description
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. - from Amzon
Number of Copies
1
