Specifying Statistical Models: From Parametric to Non-Parametric, Using Bayesian or Non-Bayesian Approaches (Lecture Notes in Statistics): 16 - Brossura

Brossura

ISBN 10: 0387908099 ISBN 13: 9780387908090

Casa editrice: Springer, 1983

Riassunto

(a) ~~~£ifi~~~iQ~ : Do observations suggest the use of a different model from the one initially proposed (e. in a parametric framework (contamina­ tion) or in the extension from parametriC to non parametric models but also.

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Contenuti

1. Protecting Against Gross Errors: The Aid of Bayesian Methods.- 2. Bayesian Approaches to Outliers and Robustness.- 3. The Probability Integral Tranformation for Non-Necessary Absolutely Continuous Distribution Functions, and its Application to Goodness-of-Fit Tests.- 4. Simulation in the General First Order Autoregressive Process (Unidimensional Normal Case).- 5. Non Parametric Prediction in Stationary Processes.- 6. Approximate Reductions of Bayesian Experiments.- 7. Theory and Applications of Least Squares Approximation in Bayesian Analysis.- 8. Non Parametric Bayesian Statistics: A Stochastic Process Approach.- 9. Robust Testing for Independent Non-Identically Distributed Variables and Markov Chains.- 10. On the Use of some Variation Distance Inequalities to estimate the Difference between Sample and Perturbed Sample.- 11. A Contribution to Robust Principal Component Analysis.- 12. From Non Parametric Regression to Non Parametric Prediction: Survey of the Mean Square Error and Original Results on the Predictogram.

Product Description

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Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 1983
• Lingua: Inglese
• ISBN 10: 0387908099
• ISBN 13: 9780387908090
• Rilegatura: Copertina flessibile
• Numero di pagine: 220
• Redattore: Florens J. P.
• Contatto del produttore: non disponibile
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