9780198522195 - graphical models: 17 di lauritzen, steffen l. (29 risultati)

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gebundene Ausgabe. Condizione: Gut. 298 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 635.

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Condizione: 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,700grams, ISBN:9780198522195.

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

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Condizione: gut. 1996. Graphical Models. Oxford Statistical Science Series, Band 17. In englischer Sprache. pages.

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Hardback. Condizione: New. Illustrated. The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical model…s in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritative account of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated with various type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivarate normal distribution and of the theory of regular exponential families. The author has recently been awarded the RSS Guy Medal in Silver 1996 for his innovative contributions to statistical theory and practice, and especially for his work on graphical models.

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Condizione: New. This book provides the first comprehensive and authoritative exposition of the theory of graphical models. It is primarily concerned with the fundamental mathematical and statistical theory and is based largely on a traditional statistical approach. Series: Oxford Statistical Science Series. Num Pages: 308 pages…, line figures, tables. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational. Dimension: 239 x 166 x 30. Weight in Grams: 598. . 1996. Hardcover. . . . . Books ship from the US and Ireland.

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Condizione: New. This book provides the first comprehensive and authoritative exposition of the theory of graphical models. It is primarily concerned with the fundamental mathematical and statistical theory and is based largely on a traditional statistical approach. Series: Oxford Statistical Science Series. Num Pages: 308 pages…, line figures, tables. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational. Dimension: 239 x 166 x 30. Weight in Grams: 598. . 1996. Hardcover. . . . .

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Hardback. Condizione: New. Illustrated. The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical model…s in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritative account of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated with various type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivarate normal distribution and of the theory of regular exponential families. The author has recently been awarded the RSS Guy Medal in Silver 1996 for his innovative contributions to statistical theory and practice, and especially for his work on graphical models.

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Hardcover. Condizione: new. Hardcover. The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical models… in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritativeaccount of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated withvarious type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivarate normal distribution and of the theory of regular exponential families. The author has recently been awarded the RSS GuyMedal in Silver 1996 for his innovative contributions to statistical theory and practice, and especially for his work on graphical models. This book provides the first comprehensive and authoritative exposition of the theory of graphical models. It is primarily concerned with the fundamental mathematical and statistical theory and is based largely on a traditional statistical approach. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical models… in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritativeaccount of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated withvarious type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivarate normal distribution and of the theory of regular exponential families. The author has recently been awarded the RSS GuyMedal in Silver 1996 for his innovative contributions to statistical theory and practice, and especially for his work on graphical models. This book provides the first comprehensive and authoritative exposition of the theory of graphical models. It is primarily concerned with the fundamental mathematical and statistical theory and is based largely on a traditional statistical approach. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical models… in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritativeaccount of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated withvarious type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivarate normal distribution and of the theory of regular exponential families. The author has recently been awarded the RSS GuyMedal in Silver 1996 for his innovative contributions to statistical theory and practice, and especially for his work on graphical models. This book provides the first comprehensive and authoritative exposition of the theory of graphical models. It is primarily concerned with the fundamental mathematical and statistical theory and is based largely on a traditional statistical approach. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Buch. Condizione: Neu. Graphical Models | Steffen L. Lauritzen | Buch | Gebunden | Englisch | 1996 | OUP Oxford | EAN 9780198522195 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

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Condizione: New. Print on Demand pp. 312 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

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