Elements of Statistical Computing

Elements of Statistical Computing

by R.A.Thisted (Author)

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.

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More Information

Format: Hardcover
Pages: 448
Edition: First Edition
Publisher: Chapman and Hall/CRC
Published: 01 Mar 1988

ISBN 10: 0412013711
ISBN 13: 9780412013713

Media Reviews
Very readable...This is an authoritative and well-written book which is also of considerable practical use...It is highly recommended. eadable...This is an authoritative and well-written book which is also of considerable practical use...It is highly recommended.