comparison of some estimators of bayesian heteroscedastic linear model

dc.contributor.authorOloyede, Isiaka
dc.date.accessioned2021-05-06T08:28:14Z
dc.date.available2021-05-06T08:28:14Z
dc.date.issued2016
dc.description.abstractIn order to investigate the asymptotic consistency and efficiency of estimators with normal-gamma double sided heteroscedastic error structure, the study explored full bayesian metropolis hasting , algorithm experiments, an approach of markov chain monte carlo simulation. The study contaminated the model with one component of two sided error strucuture. A metropolis hasting adopted to perform simulation on the marginal posterior distribution of heteroscedastic linear econometric model. Absolute bias and mean squares error criteria were used to evaluate finite properties of the estimators.en_US
dc.description.sponsorshipselfen_US
dc.identifier.citationOloyede I. (2016);comparison of some estimators of bayesian heteroscedastic linear model Abacus pp414-423 ,No. 2en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/5003
dc.language.isoenen_US
dc.publisherABACUS, Mathematical Association of Nigeriaen_US
dc.relation.ispartofseries;2
dc.subjectMarkov chain monte carloen_US
dc.subjecthetroscedasticityen_US
dc.subjectbayesian inferenceen_US
dc.titlecomparison of some estimators of bayesian heteroscedastic linear modelen_US
dc.typeArticleen_US

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