Smoothing Methods in Statistics

Jeffrey S. Simonoff

ISBN 10: 0387947167 / ISBN 13: 9780387947167

Editore: Springer, 1996

pp. 356. Codice articolo 26315815

Riassunto:

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.

Recensione: "...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)

Dati bibliografici

Titolo: Smoothing Methods in Statistics
Casa editrice: Springer
Data di pubblicazione: 1996
Legatura: Rilegato
Condizione: New