{"id":300,"date":"2017-04-24T12:32:21","date_gmt":"2017-04-24T12:32:21","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&p=300"},"modified":"2017-04-24T12:32:40","modified_gmt":"2017-04-24T12:32:40","slug":"classes-estimators-population-mean-current-occasion-two-occasion-successive-sampling","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/classes-estimators-population-mean-current-occasion-two-occasion-successive-sampling\/","title":{"rendered":"Some classes of estimators for population mean at current occasion in two-occasion successive sampling"},"content":{"rendered":"
A problem related to the estimation of population mean on the current occasion based on
\nthe samples selected over two occasions is investigated. Some classes of estimators for estimating
\nthe population mean at the current occasion in two-occasion successive (rotation)
\nsampling have been proposed. Properties of the proposed classes of estimators have been
\nstudied. Optimum replacement policies are discussed. Estimators in the proposed classes
\nare compared with (i) the sample mean estimator when no information is used from the
\nprevious occasion (ii) the optimum estimator which is a linear combination of the means of
\nthe matched and unmatched portions of the sample at the current occasion and (iii) a chain
\ntype regression to ratio estimator when auxiliary information is used at both the occasions.
\nEmpirical comparisons are shown to justify the propositions of the estimators and suitable
\nrecommendations are made.<\/p>\n
<\/p>\n