Picture 1 of 1

Stock photo

Smoothing Methods in Statistics (Springer Series in Statistics) - Picture 1 of 1

Smoothing Methods in Statistics by Jeffrey S. Simonoff (Hardcover, 1998)

plsshipfast (10443)

98.3% positive Feedback

Price:

£114.44

Free postage

Estimated delivery Wed, 28 May - Thu, 5 Jun

Returns:

30 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.

Condition:

New

Where once a data analyst was forced to make restrictive assumptions before beginning, the power of the computer now allows great freedom in deciding where an analysis should go.

About this product

Product Information

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.