Graphical Models in Applied Multivariate Statistics
J. Whittaker
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Description for Graphical Models in Applied Multivariate Statistics
Paperback. - 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.
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.
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 ... Read more
Show LessProduct Details
Format
Paperback
Publication date
2008
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
462
Condition
New
Number of Pages
464
Place of Publication
New York, United States
ISBN
9780470743669
SKU
V9780470743669
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About J. Whittaker
Joe Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.
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