Smoothing Methods in Statistics (Springer Series in Statistics)

by Jeffrey S. Simonoff

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Book cover for Smoothing Methods in Statistics

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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.
  • ISBN13 9780387947167
  • Publish Date 28 May 1998 (first published 1 June 1996)
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Edition 1st ed. 1996. Corr. 2nd printing 1998
  • Format Hardcover
  • Pages 340
  • Language English