Estimation of Population Mean in Presence of Non Response in Two-Occasion Successive Sampling
The present work intended to emphasize the role of one varying auxiliary variable at both the occasions to improve the precision of estimates of population mean at current occasion in two-occasion successive sampling in presence of non-response. Two different efficient estimators are proposed and their theoretical properties are examined. The proposed estimators have been compared with (i) the sample mean estimator in the presence of non response, where no past information is used and (ii) the estimator suggested by Singh and Priyanka , which is a linear combination of the means of the matched and unmatched portions of the sample at the current occasion . Theoretical results have been interpreted through empirical studies which are followed by suitable recommendations.
KeywordsNon-response Successive sampling Regression Exponential Chain type estimator Bias Mean square error Optimum replacement strategy
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