Graphical Models in Applied Multivariate Statistics
Author | : Joe Whittaker |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2009-03-02 |
ISBN-10 | : 0470743662 |
ISBN-13 | : 9780470743669 |
Rating | : 4/5 (669 Downloads) |
Download or read book Graphical Models in Applied Multivariate Statistics written by Joe Whittaker and published by Wiley. This book was released on 2009-03-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. This introduction to the use of graphical models in the description and modeling of multivariate systems covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. Many numerical examples and exercises with solutions are included. This book is aimed at students who require a course on applied multivariate statistics unified by the concept of conditional independence and researchers concerned with applying graphical modelling techniques.