Simulation algorithm of bayesian approach for choice-conjoint model

Generally 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...

Full description

Saved in:

Bibliographic Details
Main Author:	Zulhanif
Format:	Thesis
Language:	English
Subjects:	T 57.62 .Z8 2009 Zulhanif Simulation algorithm of bayesian approach for choice-conjoint model Simulation methods
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/1/T%2057.62%20.Z8%202009%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/2/T%2057.62%20.Z8%202009%20FullText.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-umt-ir.-855
record_format	uketd_dc
spelling	my-umt-ir.-8552016-03-11T21:21:03Z Simulation algorithm of bayesian approach for choice-conjoint model Zulhanif Generally 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). Fakulti Sains dan Teknologi 2009-06 Thesis en http://hdl.handle.net/123456789/855 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/1/T%2057.62%20.Z8%202009%20Abstract.pdf 4b3de153c1d53cf6bb20d3c2fbac6107 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/2/T%2057.62%20.Z8%202009%20FullText.pdf 41bdad43d32756d227bdee683f1d548b http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/3/license.txt ecca7a0b60eabbf88d99eae3662e2d50 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/4/T%2057.62%20.Z8%202009%20Abstract.pdf.txt ef0c05c3c21b3fbfa076b06c0c03c041 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/5/T%2057.62%20.Z8%202009%20FullText.pdf.txt 3019045ad74b5478746b1edd97a1c3d8 T 57.62 .Z8 2009 Zulhanif Simulation algorithm of bayesian approach for choice-conjoint model Simulation methods
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	T 57.62 .Z8 2009 Zulhanif Simulation algorithm of bayesian approach for choice-conjoint model Simulation methods
spellingShingle	T 57.62 .Z8 2009 Zulhanif Simulation algorithm of bayesian approach for choice-conjoint model Simulation methods Zulhanif Simulation algorithm of bayesian approach for choice-conjoint model
description	Generally 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).
format	Thesis
author	Zulhanif
author_facet	Zulhanif
author_sort	Zulhanif
title	Simulation algorithm of bayesian approach for choice-conjoint model
title_short	Simulation algorithm of bayesian approach for choice-conjoint model
title_full	Simulation algorithm of bayesian approach for choice-conjoint model
title_fullStr	Simulation algorithm of bayesian approach for choice-conjoint model
title_full_unstemmed	Simulation algorithm of bayesian approach for choice-conjoint model
title_sort	simulation algorithm of bayesian approach for choice-conjoint model
granting_institution	Fakulti Sains dan Teknologi
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/1/T%2057.62%20.Z8%202009%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/855/2/T%2057.62%20.Z8%202009%20FullText.pdf
_version_	1747835881912270848

Simulation algorithm of bayesian approach for choice-conjoint model

Similar Items