Smoothing Methods in Statistics (Springer Series in Statistics)

Smoothing Methods in Statistics (Springer Series in Statistics)

by JeffreyS.Simonoff (Author)

Synopsis

Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory, while the "Background Material" sections will interest statisticians studying the field. Over 750 references allow researchers to find the original sources for more details, and the "Computational Issues" sections provide sources for statistical software that use the methods discussed. Each chapter includes exercises with a heavily computational focus based upon the data sets used in the book, making it equally suitable as a textbook for a course in smoothing.

$184.77

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 356
Edition: 1st ed. 1996. Corr. 2nd printing
Publisher: Springer
Published: 01 Jun 1998

ISBN 10: 0387947167
ISBN 13: 9780387947167