Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/1928
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dc.contributor.authorTikkiwal, G.C.-
dc.contributor.authorPandey, Krishan K-
dc.date.accessioned2015-04-20T06:44:42Z-
dc.date.available2015-04-20T06:44:42Z-
dc.date.issued2007-04-
dc.identifier.citationSTATISTICS IN TRANSITION-new series, April 2007; Vol. 8, No. 1, pp. 111—123en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1928-
dc.description.abstractThis paper studies performance of synthetic ratio estimator and composite estimator, which is a weighted sum of direct and synthetic ratio estimators, under Lahiri – Midzuno (L-M) sampling scheme. The synthetic estimator under L-M scheme is unbiased and consistent if the assumption of synthetic estimator is satisfied. Further, this paper compares performance of the synthetic and composite estimators empirically under L-M and SRSWOR schemes for estimating crop acreage for small domains. The study shows that both the estimators perform better under L-M scheme as having comparatively smaller absolute relative biases and relative standard errors.en_US
dc.subjectManagementen_US
dc.titleOn synthetic and composite estimators for small area estimation under Lahiri - Midzuno sampling schemeen_US
dc.typeArticleen_US
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