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In this study, a new exponential ratio-regression estimator is developed using an aux- iliary variable for estimating the finite population mean under a two-phase sampling system. The Bias and Mean Square Error (MSE) of the proposed estimator are de- rived and compared with some of the...
Persistent link: https://www.econbiz.de/10015127132
This study develops a flexible and efficient generalized ratio-product cum regression-type estimator of population variance utilizing auxiliary variable in two-phase sampling that incorporates the properties of ratio-type and product-type estimators. The properties of the estimator were derived...
Persistent link: https://www.econbiz.de/10015393784
In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini's mean difference, Downton's...
Persistent link: https://www.econbiz.de/10012600295
In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini’s mean difference,...
Persistent link: https://www.econbiz.de/10012582494