• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Elements of Statistical Computing: Numerical Computation

Elements of Statistical Computing: Numerical Computation

Hardcover

Series: Elements of Statistical Computing

General MathematicsProbability & Statistics

ISBN10: 0412013711
ISBN13: 9780412013713
Publisher: Routledge
Published: Mar 1 1988
Pages: 448
Weight: 1.77
Height: 1.22 Width: 6.26 Depth: 9.72
Language: English
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.

Also in

Probability & Statistics