Graphical Models in Applied Multivariate Statistics
by
J. Whittaker
Book Details
Format
Paperback / Softback
ISBN-10
0470743662
ISBN-13
9780470743669
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 28th, 2008
Print length
464 Pages
Weight
672 grams
Dimensions
22.90 x 15.30 x 2.60 cms
Product Classification:
Probability & statisticsProbability and statistics
Ksh 12,050.00
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- 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.
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.
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