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- W2001455400 abstract "This article presents the problem of estimating the population mean using auxiliary information in the presence of measurement errors. We have compared the three proposed estimators being the exponential ratio-type estimator, Solanki et al. (2012) estimator, and the mean per unit estimator in the presence of measurement errors. Financial Model by Gujrati and Sangeetha (2007) has been employed in our empirical analysis. In that, our investigation has indicated that our proposed general class of estimator t4 is the most suitable estimator with a smaller MSE relative to other estimators under measurement errors." @default.
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- W2001455400 date "2014-01-01" @default.
- W2001455400 modified "2023-10-07" @default.
- W2001455400 title "An Alternative Estimator for Estimating the Finite Population Mean in Presence of Measurement Errors with the View to Financial Modelling" @default.
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- W2001455400 doi "https://doi.org/10.11648/j.sjams.20140206.11" @default.
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