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dc.contributor.authorZulhanif-
dc.date.accessioned2011-09-17T03:56:36Z-
dc.date.available2011-09-17T03:56:36Z-
dc.date.issued2009-06-
dc.identifier.urihttp://hdl.handle.net/123456789/855-
dc.description.abstractGenerally in Choice-Conjoint method the Multinomial Logit Model (MNL) is normally used to analyze choice conjoint data, but the MNL has some serious limitations. One of these limitations is the probability to select an alternative over a second alternative must be independent so MNL is not suitable for dependent observations is exist in chosen the preferred product or service. As we know, the Multinomial Probit Model (MPM) is a method which assumes that chosen observations are independent but according to researchers the MPM is rarely used due to computational difficulties in computing the maximum likelihood estimates (MLE) for estimate MPM parameters. Therefore this research propose simulation algorithm of Bayesian approach for estimating parameter in MPM by Bayesian analysis to avoid computational difficulties in computing the maximum likelihood estimates (MLE).en_US
dc.language.isoenen_US
dc.publisherFakulti Sains dan Teknologien_US
dc.relation.ispartofseries;T 57.62 .Z8 2009-
dc.subjectT 57.62 .Z8 2009en_US
dc.subjectZulhanifen_US
dc.subjectSimulation algorithm of bayesian approach for choice-conjoint modelen_US
dc.subjectSimulation methodsen_US
dc.titleSimulation algorithm of bayesian approach for choice-conjoint modelen_US
dc.typeThesisen_US
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