Smoothing Methods in Statistics is popular PDF and ePub book, written by Jeffrey S. Simonoff in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Smoothing Methods in Statistics can be Read Online from any device for your convenience.
Smoothing Methods in Statistics Book PDF Summary
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.
Detail Book of Smoothing Methods in Statistics PDF
- Author : Jeffrey S. Simonoff
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461240266
- Genre : Mathematics
- Total Page : 349 pages
- Language : English
- PDF File Size : 8,9 Mb
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