Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability and Statistics) - Hardcover
Book 119 of 355: Wiley Series in Probability and Statistics
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.
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About the Author
J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.
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Graphical Models in Applied Multi Statis (Wiley Series in Probability and Statistics)
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John Wiley & Sons 13/04/1990, 1990
ISBN 10: 0471917508
ISBN 13: 9780471917502
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 464 | Sprache: Englisch | Produktart: Bücher | 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. Seller Inventory # 1395057/202
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