Graphical Models in Applied Multivariate Statistics

Whittaker, J.

ISBN 10: 0470743662 / ISBN 13: 9780470743669

Published by John Wiley & Sons Inc, 2009

About this Item

1st edition. 462 pages. 9.00x6.00x1.00 inches. In Stock. Seller Inventory # x-0470743662

Bibliographic Details

Title: Graphical Models in Applied Multivariate ...

Publisher: John Wiley & Sons Inc

Publication Date: 2009

Binding: Paperback

Condition: Brand New

About this title

Synopsis:

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.

From the Publisher:

Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. Following the theorem-proof-remarks format, 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.