2015
DOI: 10.1007/s40819-015-0034-x
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Generalized Exponential Estimators of Finite Population Mean Using Transformed Auxiliary Variables

Abstract: The new generalized exponential ratio cum dual to ratio type estimators are suggested using the transformation of Srivenkataramana (Biometrika 67:199-204, 1980) to the auxiliary variables for estimating the finite population mean. The expressions for mean square errors and biases of the proposed estimators have been derived up to first order of approximation. The conditions have been obtained for which the proposed estimators are more efficient than existing estimators. Empirical study is presented to evaluat… Show more

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Cited by 10 publications
(6 citation statements)
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“…Following Yasmeen et al (2015), a generalized dual to exponential ratio type estimator under non response is proposed. The bias and MSE expression of the proposed estimator has been derived.…”
Section: The Proposed Estimatormentioning
confidence: 99%
“…Following Yasmeen et al (2015), a generalized dual to exponential ratio type estimator under non response is proposed. The bias and MSE expression of the proposed estimator has been derived.…”
Section: The Proposed Estimatormentioning
confidence: 99%
“…When X 1 = X 2 such as for variance estimation in (Muneer, Khalil, Shabbir, and Narjis, 2018), this is a particular case of the additive parametric ratio estimator introduced just above. The third one is related to (Yasmeen, Amin, and Hanif, 2015;Adichwal, Sharma, and Singh, 2017). See for a comparison of this kind of estimators.…”
Section: Exemples Of Generalized Estimatorsmentioning
confidence: 99%
“…Shahzad et al 16 discussed the estimation of the population mean by successive use of an auxiliary variable in median ranked set sampling. Yasmeen et al 17 proposed generalized exponential estimators of finite population mean using transformed auxiliary variables. Singh et al 18 discussed an alternative efficient class of estimators for finite population mean using information on an auxiliary attribute in sample surveys.…”
Section: Introductionmentioning
confidence: 99%