A class of chain ratio-type exponential estimators in double sampling using two auxiliary variates

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摘要

In this paper we propose a class of chain ratio-type exponential estimators for population mean in double sampling using two auxiliary variates. The properties of the proposed class of estimators are studied under large sample approximation. It has been shown that the proposed class of estimators is more efficient than the ratio estimator in double sampling y¯Rd, Chand’s (1975) chain-type ratio estimator y¯C and Singh and Vishwakarma (2007) exponential ratio estimator. An empirical study is carried out in support of the present study.

论文关键词:Auxiliary variates,Study variate,Double sampling,Chain-type ratio estimator,Mean squared error

论文评审过程:Available online 2 December 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2013.11.027