Bayesian Inference : Data Evaluation and Decisions
Cham : Springer International Publishing : Imprint: Springer, 2016
Abstract/Sommario:
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solution ...; [leggi tutto]
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| Descrizione | Bayesian Inference : Data Evaluation and Decisions / by Hanns Ludwig Harney. - 2nd ed. 2016. - Cham : Springer International Publishing : Imprint: Springer, 2016. - XIII, 243 p. 39 ill., 3 ill. in color ; online resource |
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Knowledge an Logic -- Bayes' Theorem -- Probable and Improbable Data -- Descriptions of Distributions I: Real x -- Description of Distributions II: Natural x -- Form Invariance I -- Examples of Invariant Measures -- A Linear Representation of Form Invariance -- Going Beyond Form Invariance: The Geometric Prior -- Inferring the Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting -- Problems and Solutions -- Description of Distributions I -- Real x -- Form Invariance I -- Beyond Form Invariance: The Geometric Prior -- Inferring Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting.. - Springer eBooks. - Printed edition: 9783319416427
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| ID scheda | 139256 |
| Permalink | https://www.opac.inaf.it/?ids=139256 |