On the Use of Auxiliary Information in Search of Good Rotation Patterns on Successive Occasions

Abstract

The present work is an attempt to make use of auxiliary information at both the occasions and also the use of partial regression coefficient in search of good rotation patterns on successive occasions. Two different estimators have been proposed for estimating the population mean at current occasion in two occasions successive (rotation) sampling. One being a difference type estimator and other is a regression type estimator. Detail behaviors of proposed estimators have been studied. Proposed estimators have been compared with the sample mean estimator when there is no matching and the optimum estimator, which is a combination of the means of the matched and unmatched portion of the sample at the second occasion. Optimum replacement policy is also discussed. Results have been demonstrated through empirical and pictorial means of elaboration.