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On synthetic and composite estimators for small area estimation under Lahiri - Midzuno sampling scheme

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dc.contributor.author Tikkiwal, G.C.
dc.contributor.author Pandey, Krishan K
dc.date.accessioned 2015-04-20T06:44:42Z
dc.date.available 2015-04-20T06:44:42Z
dc.date.issued 2007-04
dc.identifier.citation STATISTICS IN TRANSITION-new series, April 2007; Vol. 8, No. 1, pp. 111—123 en_US
dc.identifier.uri http://hdl.handle.net/123456789/1928
dc.description.abstract This 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.subject Management en_US
dc.title On synthetic and composite estimators for small area estimation under Lahiri - Midzuno sampling scheme en_US
dc.type Article en_US


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