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dc.contributor.authorKhoshnevisan, Mohammad
dc.contributor.authorKaymarm, F.
dc.contributor.authorSingh, H.
dc.contributor.authorSingh, R.
dc.contributor.authorSmarandache, F.
dc.date.accessioned2017-05-03T16:59:12Z
dc.date.available2017-05-03T16:59:12Z
dc.date.issued2004
dc.date.modified2009-12-21T06:47:57Z
dc.identifier.issn03068293
dc.identifier.doi10.1108/03068290410555381
dc.identifier.urihttp://hdl.handle.net/10072/27892
dc.description.abstractThis paper proposes a class of estimators for population correlation coefficient when information about the population mean and population variance of one of the variables is not available but information about these parameters of another variable (auxiliary) is available, in two phase sampling and analyzes its properties. Optimum estimator in the class is identified with its variance formula. The estimators of the class involve unknown constants whose optimum values depend on unknown population parameters. In earlier research it has been shown that when these population parameters are replaced by their consistent estimates the resulting class of estimators has the same asymptotic variance as that of optimum estimator. An empirical study is carried out to demonstrate the performance of the constructed estimators.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherEmerald Group Publishing Ltd.
dc.publisher.placeUnited Kingdom
dc.publisher.urihttps://www.emerald.com/insight/publication/issn/0306-8293/vol/31/iss/10
dc.relation.ispartofpagefrom890
dc.relation.ispartofpageto902
dc.relation.ispartofissue10
dc.relation.ispartofjournalInternational Journal of Social Economics
dc.relation.ispartofvolume31
dc.subject.fieldofresearchApplied economics
dc.subject.fieldofresearchOther economics
dc.subject.fieldofresearchcode3801
dc.subject.fieldofresearchcode3899
dc.titleEmpirical study in finite correlation coefficient in two phase estimation
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Business School, Department of Accounting, Finance and Economics
gro.date.issued2004
gro.hasfulltextNo Full Text
gro.griffith.authorKhoshnevisan, Mohammad


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