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Nonparametric Bayesian estimation and goodness of fit test
dc.contributor.advisor | Bayesian goodness of fit test |
dc.contributor.author | Quesada Paloma, Vicente |
dc.contributor.author | García Pérez, Alfonso |
dc.date.accessioned | 2007-11-29T17:50:23Z |
dc.date.available | 2007-11-29T17:50:23Z |
dc.date.issued | 1985-06 |
dc.identifier.issn | 0210-8054 (versió paper) |
dc.identifier.uri | http://hdl.handle.net/2099/3922 |
dc.description.abstract | We first make a review of prior distributions neutral to the right, and then we get the Bayes rule for the survival function S(t) = 1 - F(t), with quadratic loss, with these prior distributions. We give, after that, the estimator with a special kind of processes neutral to the right, the homogeneous processes. We get in point four the linear Bayes rule and we give there an interpretation of the parameters. We finish with a Bayesian generalization of the Kolmogorov-Smirnov goodness of fit test. |
dc.format.extent | p. 77-87 |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Barcelona. Centre de Càlcul |
dc.relation.ispartof | Qüestiió. 1985, vol. 9, núm. 2 |
dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/es/ |
dc.subject.other | Decision theory |
dc.subject.other | Inference |
dc.subject.other | Survival Analysis |
dc.subject.other | Processes neutral to the right |
dc.subject.other | Homogeneous processes |
dc.subject.other | Linear approach |
dc.title | Nonparametric Bayesian estimation and goodness of fit test |
dc.type | Article |
dc.subject.lemac | Teoria de la decisió |
dc.subject.lemac | Inferència |
dc.subject.lemac | Estadística |
dc.subject.ams | Classificació AMS::62 Statistics::62C Decision theory |
dc.subject.ams | Classificació AMS::62 Statistics::62G Nonparametric inference |
dc.subject.ams | Classificació AMS::62 Statistics::62N Survival analysis and censored data |
dc.rights.access | Open Access |
local.ordre | 2 |