Abstract
Dual to Ratio and Product Type Exponential Estimators of Finite Population Mean in Double Sampling for Stratification
Highlights
In Stratified random sampling, it is assumed that the strata weights as well as sampling frame are available in advance
Theory of double sampling was developed by Neyman (1938)
Srivenkataramana (1980) and Bondyopadhyay (1980) motivates to suggest dual to Tailor et al (2014) ratio type exponential estimator in double sampling for stratification as
Summary
Available online at: www.isroset.org Received 12th Sep 2017, Revised 26th Sep 2017, Accepted 17th Oct 2017, Online 30th Oct 2017 Abstract- For estimating the finite population mean, two exponential type estimators in double sampling for stratification have been suggested with their properties. The biases and mean squared errors of the suggested estimators are obtained upto the first degree of approximation. The suggested estimators have been compared with usual unbiased estimator of population mean, ratio and product estimators, dual to ratio and product type estimators and ratio and product type exponential estimators in double sampling for stratification. To judge the merits of the suggested estimators, an empirical study has been carried out
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