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Article: A comparison of maximum likelihood and expected a posteriori estimation for polychoric correlation using Monte Carlo simulation

TitleA comparison of maximum likelihood and expected a posteriori estimation for polychoric correlation using Monte Carlo simulation
Authors
Chen, JinsongChoi, Jaehwa
KeywordsPolychoric correlation
Maximum likelihood
Expected a posterior
Issue Date2009
Citation
Journal of Modern Applied Statistical Methods, 2009, v. 8, n. 1, p. 337-354 How to Cite?
DOI: http://dx.doi.org/10.22237/jmasm/1241137860
AbstractThis study aims to compare the maximum likelihood (ML) and expected a posterior (EAP) estimation for polychoric correlation (PCC) under diverse conditions, especially when considering a sample size. As the ML is the classical solution to estimate PCC, the EAP is a new method based on Bayes' theorem. Different types of prior distributions are also adapted to investigate the sensitivity of prior distribution onto the PCC estimate for the EAP case. The Monte Carlo simulation is used for this comparison by a specialized program code in MATLAB. © 2009 JMASM, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/288994
ISSN
1538-9472
2023 SCImago Journal Rankings: 0.174
ISI Accession Number ID
WOS:000415507600032

 

DC FieldValueLanguage
dc.contributor.authorChen, Jinsong-
dc.contributor.authorChoi, Jaehwa-
dc.date.accessioned2020-10-12T08:06:24Z-
dc.date.available2020-10-12T08:06:24Z-
dc.date.issued2009-
dc.identifier.citationJournal of Modern Applied Statistical Methods, 2009, v. 8, n. 1, p. 337-354-
dc.identifier.issn1538-9472-
dc.identifier.urihttp://hdl.handle.net/10722/288994-
dc.description.abstractThis study aims to compare the maximum likelihood (ML) and expected a posterior (EAP) estimation for polychoric correlation (PCC) under diverse conditions, especially when considering a sample size. As the ML is the classical solution to estimate PCC, the EAP is a new method based on Bayes' theorem. Different types of prior distributions are also adapted to investigate the sensitivity of prior distribution onto the PCC estimate for the EAP case. The Monte Carlo simulation is used for this comparison by a specialized program code in MATLAB. © 2009 JMASM, Inc.-
dc.languageeng-
dc.relation.ispartofJournal of Modern Applied Statistical Methods-
dc.subjectPolychoric correlation-
dc.subjectMaximum likelihood-
dc.subjectExpected a posterior-
dc.titleA comparison of maximum likelihood and expected a posteriori estimation for polychoric correlation using Monte Carlo simulation-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.22237/jmasm/1241137860-
dc.identifier.scopuseid_2-s2.0-78650784672-
dc.identifier.volume8-
dc.identifier.issue1-
dc.identifier.spage337-
dc.identifier.epage354-
dc.identifier.eissn1538-9472-
dc.identifier.isiWOS:000415507600032-
dc.identifier.issnl1538-9472-

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