VERY GOOD: This book is in very good condition, showing the most of its use in the form of smudges along the page edges. The pages are free of writing, the binding tight, and the spine straight.
Product Details
Continued from the back cover: "Elements of Statistical Computing covers the broad usage of computing in statistics. This book provides a comprehensive account of the most important computational ideas and methods which arise in the numerical aspects of computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing.
"This volume gives special attention to floating-point standards and numerical analysis; iterative methods for both linear and nonlinear equations such as the 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."
Chapters
Introduction to Statistical Computing
Basic Numerical Methods
Numerical Linear Algebra
Nonlinear Statistical Methods
Numerical Integration and Approximation
Smoothing and Density Estimation
The book concludes with Answers to Selected Exercises, References, and Index.
