Hardcover. Condition: Good. used hardcover copy, lacking a dust jacket. light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight, and tight. there are no marks to the text or other serious flaws save for the lack of the original jacket.
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Condition: Like New. paperback. Text block, wraps and binding are in like new condition, without markings of any kind. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Condition: New.
Language: English
Published by John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743662 ISBN 13: 9780470743669
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First Edition
Paperback. Condition: new. Paperback. 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. - 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Hardcover. Condition: Fine. Reprint Edition.
Language: English
Published by John Wiley & Sons 2009-02, 2009
ISBN 10: 0470743662 ISBN 13: 9780470743669
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 WHI 9780471917502 Sprache: Englisch Gewicht in Gramm: 550.
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Language: English
Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470743662 ISBN 13: 9780470743669
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by John Wiley & Sons Inc, 2008
ISBN 10: 0470743662 ISBN 13: 9780470743669
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First Edition
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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. . . . .
Condition: New. pp. 462 Index.
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Hard Cover. Condition: Good. Dust Jacket Condition: No Dust Jacket. Good copy with highlighting and markings in first half of book and minor shelfwear.
Language: English
Published by John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743662 ISBN 13: 9780470743669
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First Edition
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Add to basketPaperback. Condition: new. Paperback. 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. - 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by John Wiley & Sons Inc, 2009
ISBN 10: 0470743662 ISBN 13: 9780470743669
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 1st edition. 462 pages. 9.00x6.00x1.00 inches. In Stock.
Language: English
Published by John Wiley & Sons Inc, New York, 2008
ISBN 10: 0470743662 ISBN 13: 9780470743669
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
Paperback. Condition: new. Paperback. 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. - 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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.
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Add to basketPaperback. Condition: Like New. Like New. book.
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: As New. Unread book in perfect condition.
Language: English
Published by John Wiley & Sons Inc, New York, 1990
ISBN 10: 0471917508 ISBN 13: 9780471917502
Seller: CitiRetail, Stevenage, United Kingdom
First Edition
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Add to basketHardcover. Condition: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.