This book describes techniques used in computational statistics and considers some of the areas of application, such as density estimation and model building, in which computationally-intensive methods are useful.

Klappentext

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books

Inhalt

Preliminaries * Monte Carlo Methods for Inference * Randomization and Data Partitioning * Bootstrap Methods * Tools for Identification of Structure in Data * Estimation of Functions * Graphical Methods in Computational Statistics * Estimation of Probability Density Functions Using Parametric Models * Nonparametric Estimation of Probability Density Functions * Structure in Data * Statistical Models of Dependencies * Appendices