Introduction Graphical Modelling by Edwards (39 results)

Hardback. Condition: Good. 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.…

Hardback. Condition: Good. 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.…

hardcover. Condition: Very Good.

Hardcover. Condition: Near Fine. No Jacket.

Hardcover. Condition: Good. Hardcover in near fine condition. Book includes disk. Highlighting.

Hardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Hardcover. Condition: Fine. Second Edition. No markings.

hardcover. Condition: Good. floppy disc in back envelope No dust jacket. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.

Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. Diskette is missing. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780387944838.…

Condition: Used: Very Good. 2000 hardcover 2nd ed no dust jacket as issued name in book clean unmarked pages 333 pages H-16.

Condition: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

Condition: 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.

Hardcover. Condition: Fine. hardback in fine condition. includes disk.

Cloth/Laminated Boards. Condition: Very Good. Dust Jacket Condition: No d/j as Published. Type: Book N.B. Small plain label to inside front cover. (MATHEMATICS).

Hardback. 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.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: New. pp. xv + 335 2nd Edition.

Paperback. Condition: Brand New. 2nd reprint edition. 352 pages. 9.90x7.00x0.90 inches. In Stock.

Taschenbuch. 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.…

Taschenbuch. Condition: Neu. Introduction to Graphical Modelling | David Edwards | Taschenbuch | Springer Texts in Statistics | xv | Englisch | 2012 | Springer | EAN 9781461267874 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Gut. Zustand: Gut | Seiten: 287 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Buch. 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.…

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

N.A. Condition: New. ISBN:9780387950549.