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Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability and Statistics) - Hardcover
Synopsis
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.
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From the Back Cover
The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.
Graphical Models in Applied Multivariate Statistics
Joe Whittaker
Department of Mathematics, University of Lancaster, UK.
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
J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date1990
- ISBN 10 0471917508
- ISBN 13 9780471917502
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages466
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