[ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Torn pages: YES ] [ Edition: First ] Publisher: Routledge Pub Date: 3/1/1988 Binding: Hardcover Pages: 448 First edition.

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Bibliographic Details

Title: Elements of Statistical Computing: NUMERICAL COMPUTATION
Publisher: Chapman and Hall/CRC
Publication Date: 1988
Language: English
ISBN 10: 0412013711
ISBN 13: 9780412013713
Binding: Hardcover
Condition: Good

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Synopsis

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.