Elements of Statistical Computing

NUMERICAL COMPUTATION

By R. A. Thisted

© 1988 – Chapman and Hall/CRC

448 pages

Purchasing Options:
Hardback: 9780412013713
pub: 1988-02-29
US Dollars$169.95
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About the Book

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.

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."

Subject Categories

BISAC Subject Codes/Headings:
MAT021000
MATHEMATICS / Number Systems
MAT029000
MATHEMATICS / Probability & Statistics / General