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Graphical Models in Applied Multivariate Statistics

Whittaker, J.

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ISBN 10: 0471917508 / ISBN 13: 9780471917502
Published by John Wiley & Sons, 1990
Used Condition: Good Hardcover
From Bananafish Books (New Holland, PA, U.S.A.)

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Good copy with highlighting and markings in first half of book and minor shelfwear. Bookseller Inventory # 026302

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Bibliographic Details

Title: Graphical Models in Applied Multivariate ...

Publisher: John Wiley & Sons

Publication Date: 1990

Binding: Hard Cover

Book Condition:Good

Dust Jacket Condition: No Dust Jacket

About this title

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.

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 this title" may belong to another edition of this title.

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