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Bayesian Inference Geodetic Applications by Koch Karl Rudolf (16 results)
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Bayesian Inference with Geodetic Applications (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
Paperback. Condition: new. Paperback. 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 linear 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. This introduction to Bayesian inference places special emphasis on applications. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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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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Bayesian Inference with Geodetic Applications
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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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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
US$ 64.68
Convert currencyUS$ 72.65 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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Bayesian Inference with Geodetic Applications (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
US$ 123.23
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Add to basketPaperback. Condition: new. Paperback. 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 linear 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. This introduction to Bayesian inference places special emphasis on applications. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Bayesian Inference with Geodetic Applications
Published by Springer Berlin Heidelberg, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
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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: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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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, 1990
ISBN 10: 3540530800 ISBN 13: 9783540530800
Language: English
US$ 58.49
Convert currencyUS$ 57.52 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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, 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$ 64.68
Convert currencyUS$ 70.45 shipping from Germany to U.S.A.Quantity: 1 available
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.
