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Published by John Wiley & Sons 2009-02, 2009
ISBN 10: 0470743662 ISBN 13: 9780470743669
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Language: English
Published by John Wiley & Sons Inc, 2008
ISBN 10: 0470743662 ISBN 13: 9780470743669
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Add to basketCondition: New. - 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. . 2009. 1st Edition. Paperback. . . . .
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Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470743662 ISBN 13: 9780470743669
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Condition: New. - 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. . 2009. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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Add to basketKartoniert / Broschiert. Condition: New. The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these work.
Language: English
Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470743662 ISBN 13: 9780470743669
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Taschenbuch. Condition: Neu. Neuware - 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.
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.
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Add to basketGebunden. Condition: New. Graphical models----a subset of log--linear models----reveal the interrelationships between multiple variables and features of the underlying conditional independence.InhaltsverzeichnisIndependence and Interaction. Independence Grap.