C Santharam (3 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2014

    3659274763 / 9783659274763

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Condition: New

    US$ 63.49

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Whenever question arises about uncertainty, it can be tackled by Bayesian tools and methods, with the help of priori probabilities and posterior probabilities. In general classical statistics selects just the 'best' model and rejects all the others, even of they are only marginally worse than the best model, perhaps the model is a good fit, but in case of forecasting the future; there it fails. Now, the problem is uncertainty about model, in this book detailed discussion about Bayesian analysis and methods, that in contrast, will combine models of highly comparable for forecasting.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2014

    3659274763 / 9783659274763

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    US$ 53.36

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Titus S. SamS. Sam Titus, obtained his bachelor s degree in Statistics and currently pursuing his post-graduation in Statistics in PG and Research Department of Statistics, Loyola College, Tamil Nadu, India. He stood first in academi. …

  • Language: English

    Published by LAP LAMBERT Academic Publishing Mär 2014, 2014

    3659274763 / 9783659274763

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Condition: New

    US$ 253.93

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Whenever question arises about uncertainty, it can be tackled by Bayesian tools and methods, with the help of priori probabilities and posterior probabilities. In general classical statistics selects just the 'best' model and rejects all the others, even of they are only marginally worse than the best model, perhaps the model is a good fit, but in case of forecasting the future; there it fails. Now, the problem is uncertainty about model, in this book detailed discussion about Bayesian analysis and methods, that in contrast, will combine models of highly comparable for forecasting.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 116 pp. Englisch.…