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Bayesian Inference Geodetic Applications by Karl Rudolf Koch (14 results)
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US$ 59.16
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Bayesian Inference with Geodetic Applications (Lecture Notes in Earth Sciences, 31)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 71.26
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Condition: New. pp. 212.
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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
US$ 45.40
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 212 | Sprache: Englisch | Produktart: Bücher.
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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
US$ 63.97
Convert currencyUS$ 34.69 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: 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.
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US$ 90.23
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Add to basketPaperback. Condition: Brand New. 1990 edition. 212 pages. 9.60x6.69x0.55 inches. In Stock.
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Add to basketCondition: 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.
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US$ 100.28
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Add to basketCondition: New. PRINT ON DEMAND pp. 212.
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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
US$ 57.85
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Add to basketKartoniert / Broschiert. Condition: 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.
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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg Okt 1990, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 102.37
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Add to basketTaschenbuch. Condition: 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.
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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 1990, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 63.97
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Add to basketTaschenbuch. Condition: 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.
