Empirical Study in Finite Correlation Coefficient in Two Phase Estimation

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dc.creatorKhoshnevisan, M.
dc.creatorKaymarm, F.
dc.creatorSingh, H. P.
dc.creatorSingh, Rajesh
dc.creatorSmarandache, Florentin
dc.date2003-04-17
dc.date.accessioned2026-07-07T06:21:27Z
dc.date.available2026-07-07T06:21:27Z
dc.descriptionThis 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.
dc.description10 pages, 1 table. To appear in "Libertas Mathematica"
dc.identifierhttps://arxiv.org/abs/math/0304248
dc.identifierhttp://arxiv.org/abs/math/0304248
dc.identifierInternational Journal of Social Economics, Vol. 31, No. 10, 890-902, 2004.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/95605
dc.subjectGeneral Mathematics
dc.subject92B28, 62P20
dc.titleEmpirical Study in Finite Correlation Coefficient in Two Phase Estimation
dc.typetext

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