Graphical Models in Applied Multivariate Statistics
Language: English
Published by John Wiley & Sons Inc, 2009
- Softcover
- New

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Condition: New
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Add to basketItem description from seller
- 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. Num Pages: 462 pages, black & white illustrations, black & white tables, figures. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational. Dimension: 229 x 153 x 26. Weight in Grams: 648. . 2009. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780470743669
- Title
- Graphical Models in Applied Multivariate Statistics
- Author
- J. Whittaker
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2009
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0470743662
- ISBN 13
- 9780470743669
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.
"Synopsis" may belong to another edition of this title.
About the Author
Joe Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.
"About the title" may belong to another edition of this title.
Kennys Bookstore
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