Computational Statistics Handbook with MATLAB, 2nd edn

摘要

This book was designed with the twin objectives of making statistical techniques available to arnwide range of users and to promote the use of M ATLAB among statisticians and other data analysts. After their major success with its first edition, the authors now present a second edition with many additions. The volume now comprises 15 chapters covering almost all key statistical tools that are vital for sound inferential data analysis. After a succinct introduction, the book teaches working with probability concepts, sampling concepts and the generation of random variables. It then provides tools for exploratory data analysis. Following these basic tools, it introduces sophisticated tools such as Monte Carlo methods for inferential statistics, data partitioning, probability density estimation, supervised and unsupervised learning, parametric and non-parametric models, Markov chain Monte Carlo methods and spatial statistics. The coverage of each topic is comprehensive and comprises well-illustrated examples and formulae. Besides, it also includes many useful appendices.