Hardcover. 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. Graphical models----a subset of log--linear models----reveal the interrelationships between multiple variables and features of the underlying conditional independence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Graphical Models in Applied Multivariate Statistics (Hardcover)
Publisher: John Wiley & Sons Inc, New York
Publication Date: 1990
Language: English
ISBN 10: 0471917508
ISBN 13: 9780471917502
Binding: Hardcover
Edition: 1st Edition
Condition: new

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.

About the Author

J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.

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