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Published by Springer Verlag, New York, 1995
ISBN 10: 0387944834 ISBN 13: 9780387944838
Language: English
Seller: Avalon Books, Stockton, CA, U.S.A.
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hardcover. Condition: Very Good. Very Good. Used with some reading wear, age toning to cover, and some creasing to pages but is still in great reading condition. pen markings on only 3 pages in text.
Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1995
ISBN 10: 0387944834 ISBN 13: 9780387944838
Language: English
Seller: Rob the Book Man, Vancouver, WA, U.S.A.
Hardcover. Condition: Good. Hardcover in near fine condition. Book includes disk. Highlighting.
Seller: Feldman's Books, Menlo Park, CA, U.S.A.
Hardcover. Condition: Fine. Second Edition. No markings.
Hardcover. Condition: Fine. First Edition. Cd in rear; ; Springer Texts In Statistics; 9.3 X 7.2 X 0.9 inches; 274 pages.
Condition: New. pp. 356 2nd Edition.
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Add to basketCondition: New. pp. 356 Illus.
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780387950549.
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Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1995
ISBN 10: 0387944834 ISBN 13: 9780387944838
Language: English
Seller: Bingo Used Books, Vancouver, WA, U.S.A.
Hardcover. Condition: Fine. hardback in fine condition. includes disk.
Published by Springer 11.05.1995., 1995
ISBN 10: 0387944834 ISBN 13: 9780387944838
Language: English
Seller: NEPO UG, Rüsselsheim am Main, Germany
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Add to basketCondition: Sehr gut. 275 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 969 23,6 x 18,2 x 2,4 cm, Gebundene Ausgabe.
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Introduction to Graphical Modelling 1.36. Book.
Published by Springer-Verlag, 2000
ISBN 10: 0387950540 ISBN 13: 9780387950549
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Add to basketHardback. Condition: Very Good. No Jacket. 2nd 2000. Very good condition with no wrapper. Second Edition. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. Based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the internet. Glazed boards. xv and 333 pages including index. Boards faded and a little scuffed. A few minor foxspots to text block. Name in ink to top of front endpaper else contents clean. Packaged with care and promptly dispatched!
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Hardcover. Condition: Near Fine. Second Edition. Springer Texts In Statistics; 10.0 X 7.1 X 1.0 inches; 350 pages.
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Add to baskethardcover. Condition: Befriedigend. 350 Seiten; 9780387950549.4 Gewicht in Gramm: 1.
Condition: New. pp. xv + 335 2nd Edition.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 352 pages. 9.90x7.00x0.90 inches. In Stock.
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models, including log-linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. Chapter 7 describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given a causal interpretation. This book will provide a useful introduction to this topic for students and researchers.