Smoothing Methods in Statistics: SMOOTHING METHODS IN STATISTIC

Hardcover | May 28, 1998

byJeffrey S. Simonoff

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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.

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From Our Editors

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.

From the Publisher

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 g...

Format:HardcoverDimensions:368 pages, 9.21 × 6.14 × 0.9 inPublished:May 28, 1998Publisher:Springer New York

The following ISBNs are associated with this title:

ISBN - 10:0387947167

ISBN - 13:9780387947167

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Extra Content

Table of Contents

Introduction.- Simple Univariate Density Estimation.- Smoother Univariate Density Estimation.- Multivariate Denisty Estimation.- Nonparametric Regression.- Smoothing Categorical Data.- Further Applications of Smoothing.- Appendix A: Descriptions of the Data Sets; Appendix B: More on Computational Issues.

From Our Editors

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.

Editorial Reviews

"...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)