A new class of generalized exponential ratio and product type estimators for population mean using variance of an auxiliary variable

dc.contributor.author	Hina Khan
dc.contributor.author	Ahmad Faisal Siddiqi
dc.date.accessioned	2015-03-05T09:23:33Z
dc.date.available	2015-03-05T09:23:33Z
dc.date.issued	2014
dc.description.abstract	In this paper, a general class of Estimator and Exponential Ratio and Product Type of Estimators for estimating finite population mean in Single Phase Sampling is considered. The expression for the Bias and Mean Square Error (MSE) of the first order approximation of the proposed class of Estimators are given. The properties of the proposed Estimators have been analyzed for independent units under Simple Random Sampling without replacement (SRSWOR) with ignoring finite population Correction Factor. It has been shown that the proposed Ratio and Product Exponential Type Estimators are more efficient than Simple Random Sampling, Classical Ratio and Bhal and Tuteja (1991) Estimator.	en_US
dc.identifier.citation	2. Khan, H., & Siddiqi, A. F. (2014). A New Class of Generalized Exponential Ratio and Product Type Estimators for Population Mean using Variance of an Auxiliary Variable. Journal of Statistics 21, 206-214.	en_US
dc.identifier.uri	https://escholar.umt.edu.pk/handle/123456789/1418
dc.language.iso	en	en_US
dc.publisher	Journal of Statistics	en_US
dc.subject	Mean Square Error	en_US
dc.subject	Bias	en_US
dc.subject	Efficiency	en_US
dc.title	A new class of generalized exponential ratio and product type estimators for population mean using variance of an auxiliary variable	en_US
dc.type	Article	en_US

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