
Graphical Models in Applied Multivariate Statistics
J. Whittaker(Author)
Wiley (Publisher)
1st Edition
Published on 28. March 1990
Book
Hardback
464 pages
978-0-471-91750-2 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 32 mm
Weight
901 gr
ISBN-13
978-0-471-91750-2 (9780471917502)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Graphical Models in Applied Multivariate Statistics
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J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.
Content
Independence and Interaction.
Independence Graphs.
Information Divergence.
The Inverse Variance.
Graphical Gaussian Models.
Graphical Log-Linear Models.
Model Selection.
Methods for Sparse Tables.
Regression and Graphical Chain Models.
Models for Mixed Variables.
Decompositions and Decomposability.
Appendices.
References.
Author Index.
Subject Index.
Independence Graphs.
Information Divergence.
The Inverse Variance.
Graphical Gaussian Models.
Graphical Log-Linear Models.
Model Selection.
Methods for Sparse Tables.
Regression and Graphical Chain Models.
Models for Mixed Variables.
Decompositions and Decomposability.
Appendices.
References.
Author Index.
Subject Index.