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MEDIAN ESTIMATION USING DOUBLE SAMPLING

dc.contributor.authorSingh, Sarjinder
dc.contributor.authorJoarder, Anwar H.
dc.contributor.authorTracy, D.S.
dc.date.accessioned2026-10-15T12:49:41Z
dc.date.issued2001
dc.description.abstractThis paper proposes a general class of estimators for estimating the median in double sampling. The position estimator, stratification estimator and regression type estimator attain the minimum variance of the general class of estimators. The optimum values of the first-phase and second-phase sample sizes are also obtained for the fixed cost and the fixed variance cases. An empirical study examines the performance of the double sampling strategies for median estimation. Finally, an extension of the methods of Chen & Qin (1993) and Kuk & Mak (1994) is considered for the double sampling strategy.
dc.identifier.citationSingh, S., Joarder, A. H., & Tracy, D. S. (2001). MEDIAN ESTIMATION USING DOUBLE SAMPLING. Aust. N.Z. J. Stat., 43(1), 33–46.
dc.identifier.urihttps://repository.ulab.edu.bd/handle/123456789/1223
dc.language.isoen
dc.publisherAustralian Statistical Publishing Association Inc.
dc.subjectauxiliary information
dc.subjectcost aspects
dc.subjectempirical study
dc.subjectmedian estimation
dc.subjecttwo-phase sampling
dc.subjectvariance
dc.titleMEDIAN ESTIMATION USING DOUBLE SAMPLING
dc.typeArticle

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