Smoothing Methods in Statistics (Springer Series in Statistics) - Hardcover

Simonoff, Jeffrey S.

Hardcover

ISBN 10: 0387947167 ISBN 13: 9780387947167

Publisher: Springer, 1996

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.

About this title

From the Back Cover:

This book surveys the uses of smoothing methods in statistics. The coverage has an applied focus and is very broad, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, k categorical data smoothing, and applications of smoothing to other areas of statistics.

Review:

"...an excellent reference to the field and has no rival in terms of accessibility, coverage, and utility." (Jnl. of the Am. Statistical Association)
"...an excellent overview of smoothing methods and concepts, presenting material in an intuitive manner with many interesting graphics." (Technometrics)

About this edition

• Publisher: Springer
• Publication date: 1996
• ISBN 10: 0387947167
• ISBN 13: 9780387947167
• Binding: Hardcover
• Number of pages: 352