Graphical Models in Applied Multivariate Statistics (Paperback)

J. Whittaker

ISBN 10: 0470743662 / ISBN 13: 9780470743669

Published by John Wiley & Sons Inc, New York, 2008

About this Item

Paperback. 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. - It reveals the interrelationships between multiple variables and features of the underlying conditional independence. - It 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780470743669

Bibliographic Details

• Title: Graphical Models in Applied Multivariate Statistics (Paperback)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 2008
• Language: English
• ISBN 10: 0470743662
• ISBN 13: 9780470743669
• Binding: Paperback
• Edition: 1st Edition
• Condition: 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.

About the Author

Joe Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.