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 |