|Computational Statistics Handbook with MATLAB, 2nd Edition|
As with the first edition, Computational Statistics Handbook with MATLAB, 2nd Edition, covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis.
Topics covered include: probability and sampling concepts, random number generation, exploratory data analysis, finding structure through data tours, Monte Carlo methods for inferential statistics, cross-validation and the jackknife, supervised and unsupervised learning methods, parametric methods for modeling, smoothing, Markov Chain Monte Carlo, and spatial point processes.
Click here to order the book from Amazon.
Click here to download the Computational Statistics Toolbox for MATLAB. This file also includes the MATLAB code for the examples found in the book, as well as the data sets.
|Last updated: December 2010|