Martinez W.L., Martinez A.R. Computational Statistics Handbook with MatLAB

London: Chapman & Hall/CRC, 2002. - 585 p.This book is intended for researchers in engineering, statistics, psychology, biostatistics, data mining and any other discipline that must deal with the analysis of raw data. Students at the senior undergraduate level or beginning graduate level in statistics or engineering can use the book to supplement course material. Exercises are included with each chapter, making it suitable as a textbook for a course in computational statistics and data analysis. Scientists who would like to know more about programming methods for analyzing data in MatLAB would also find it useful.Probability Concepts
Sampling Concepts
Generating Random Variables
Exploratory Data Analysis
Monte Carlo Methods for Inferential Statistics
Data Partitioning
Probability Density Estimation
Statistical Pattern Recognition
Nonparametric Regression
Markov Chain Monte Carlo Methods
Spatial Statistics
Appendix
Introduction to MatLAB
Index of Notation
Projection Pursuit Indexes
MatLAB Code
MatLAB Statistics Toolbox
Computational Statistics Toolbox
Data Sets