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Bayesian Analysis Failure Time by Kaeding Matthias (18 results)
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Condition: As New. Unread book in perfect condition.
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Bayesian Analysis of Failure Time Data Using P-Splines (BestMasters)
Book 5 of 91: BestMastersSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Bayesian Analysis of Failure Time Data Using P-Splines
Book 5 of 91: BestMastersLanguage: English
Published by Springer Spektrum 2015-01, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
US$ 66.05
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Bayesian Analysis of Failure Time Data Using P-splines
Book 5 of 91: BestMastersSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Bayesian Analysis of Failure Time Data Using P-splines
Book 5 of 91: BestMastersSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Bayesian Analysis of Failure Time Data Using P-splines
Book 5 of 91: BestMastersLanguage: English
Published by Spektrum Akademischer Verlag Gmbh, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
US$ 88.15
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Add to basketPaperback. Condition: Brand New. 2015 edition. 120 pages. 8.25x6.00x0.25 inches. In Stock.
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Bayesian Analysis of Failure Time Data Using P-Splines
Book 5 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Jan 2015, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg 120 pp. Englisch.
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Bayesian Analysis of Failure Time Data Using P-Splines
Book 5 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Bayesian Analysis of Failure Time Data Using P-Splines
Book 5 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden Jan 2015, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model. 120 pp. Englisch.
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Condition: New. Print on Demand 110.
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Condition: New. PRINT ON DEMAND 110.
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Bayesian Analysis of Failure Time Data Using P-Splines
Book 5 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of natural sciencesRelative Riskand Log-Location-Scale Family.- Bayesian P-Splines.- Discrete Time Models.- ContinuousTime Models.Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure t.
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Bayesian Analysis of Failure Time Data Using P-Splines
Book 5 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2015
ISBN 10: 3658083921 ISBN 13: 9783658083922
Taschenbuch. Condition: Neu. Bayesian Analysis of Failure Time Data Using P-Splines | Matthias Kaeding | Taschenbuch | ix | Englisch | 2015 | Springer Fachmedien Wiesbaden | EAN 9783658083922 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
