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This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes' theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the posterior distribution. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Solutions are supplied for the classification, for the posterior analysis based on distributions of robust maximum likelihood type estimates, and for the reconstruction of digital images.
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Contenuti
Basic concepts.- Bayes’ Theorem.- Prior density functions.- Point estimation.- Confidence regions.- Hypothesis testing.- Predictive analysis.- Numerical techniques.- Models and special applications.- Linear models.- Nonlinear models.- Mixed models.- Linear models with unknown variance and covariance components.- Classification.- Posterior analysis based on distributions for robust maximum likelihood type estimates.- Reconstruction of digital images.
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Book by Koch KarlRudolf
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- EditoreSpringer
- Data di pubblicazione1990
- ISBN 10 3540530800
- ISBN 13 9783540530800
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine212
- Contatto del produttorenon disponibile
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Bayesian Inference with Geodetic Applications
Editore:
Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800
ISBN 13: 9783540530800
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 212 | Sprache: Englisch | Produktart: Bücher. Codice articolo 485506/202
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Bayesian Inference with Geodetic Applications
Editore:
Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800
ISBN 13: 9783540530800
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte C. Codice articolo 4892637
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Bayesian Inference with Geodetic Applications
Editore:
Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800
ISBN 13: 9783540530800
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes' theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the posterior distribution. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Solutions are supplied for the classification, for the posterior analysis based on distributions of robust maximum likelihood type estimates, and for the reconstruction of digital images. Codice articolo 9783540530800
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Bayesian Inference with Geodetic Applications
ISBN 10: 3540530800
ISBN 13: 9783540530800
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes' theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the posterior distribution. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Solutions are supplied for the classification, for the posterior analysis based on distributions of robust maximum likelihood type estimates, and for the reconstruction of digital images.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch. Codice articolo 9783540530800
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Bayesian Inference with Geodetic Applications (Lecture Notes in Earth Sciences, 31)
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Bayesian Inference with Geodetic Applications
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Bayesian Inference with Geodetic Applications (Lecture Notes in Earth Sciences)
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Paperback. Condizione: Brand New. 1990 edition. 212 pages. 9.60x6.69x0.55 inches. In Stock. Codice articolo x-3540530800
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Bayesian Inference with Geodetic Applications
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Condizione: New. Print on Demand pp. 212 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam. Codice articolo 6343102
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Bayesian Inference with Geodetic Applications
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Condizione: New. PRINT ON DEMAND pp. 212. Codice articolo 181537643
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Bayesian Inference with Geodetic Applications
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Springer Berlin Heidelberg Okt 1990, 1990
ISBN 10: 3540530800
ISBN 13: 9783540530800
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes' theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the posterior distribution. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Solutions are supplied for the classification, for the posterior analysis based on distributions of robust maximum likelihood type estimates, and for the reconstruction of digital images. 212 pp. Englisch. Codice articolo 9783540530800
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