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gebundene Ausgabe. Condition: Gut. 423 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: 980.
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367398605 ISBN 13: 9780367398606
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Published by Chapman and Hall/CRC, 2026
ISBN 10: 1041169973 ISBN 13: 9781041169970
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Published by Taylor & Francis Ltd Nov 2019, 2019
ISBN 10: 0367398605 ISBN 13: 9780367398606
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Published by Chapman and Hall/CRC, 2026
ISBN 10: 1041169973 ISBN 13: 9781041169970
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Published by Chapman and Hall/CRC, 2026
ISBN 10: 1041169973 ISBN 13: 9781041169970
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Published by Taylor & Francis Group, 2000
ISBN 10: 0824790340 ISBN 13: 9780824790349
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Condition: New. pp. xvi + 423 1st Edition.
Language: English
Published by Taylor & Francis Inc, 2000
ISBN 10: 0824790340 ISBN 13: 9780824790349
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Published by Taylor & Francis Group, 2000
ISBN 10: 0824790340 ISBN 13: 9780824790349
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Published by Taylor & Francis Inc Mai 2000, 2000
ISBN 10: 0824790340 ISBN 13: 9780824790349
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs, this work considers parametric and semiparametric approaches to overdispersed GLMs.
Language: English
Published by Taylor & Francis Group, 2000
ISBN 10: 0824790340 ISBN 13: 9780824790349
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Language: English
Published by Chapman And Hall/CRC, 2026
ISBN 10: 1041169973 ISBN 13: 9781041169970
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an introduction to double generalized linear models (DGLMs) under frequentist and Bayesian frameworks. These models include the class of generalized linear models and compose a unified class of models, where appropriate functions of the mean and dispersion parameters follow linear regression structures that are linear combinations of the explanatory variables. The heteroscedastic normal linear regression models, gamma regression models (where both mean and shape have regression structures), and beta regression models (where both mean and dispersion have regression structures) are examples of this family of regression models. A central topic in the framework of DGLMs is count overdispersion regression models, specifically those associated with the Poisson and binomial distributions. An extension of double generalized linear models is the family of double generalized nonlinear models.
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1041169973 ISBN 13: 9781041169970
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Double Generalized Linear Models | Likelihood and Bayesian Methods | Edilberto Cepeda-Cuervo | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Chapman and Hall/CRC | EAN 9781041169970 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.