DUAL TO RATIO AND PRODUCT TYPE EXPONENTIAL ESTIMATORS IN STRATIFIED RANDOM SAMPLING USING TWO AUXILIARY VARIATES
Rajesh Tailor, Narendra Kumar Jatwa, Ritesh Tailor, Neha Garg
Abstract
Rajesh Tailor, Narendra Kumar Jatwa, Ritesh Tailor, Neha Garg
Abstract
This paper discusses the problem of estimation of population mean in stratified random sampling. In fact, in this paper, dual to ratio and product type exponential estimators in stratified random sampling have been suggested. The biases and mean squared errors of the suggested estimators haven been obtained up to the first degree of approximation. The suggested estimators have been compared with existing estimators and conditions under which suggested estimators are more efficient than other considered estimators have been obtained. An empirical study has been carried out to demonstrate the performance of the suggested estimators.
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This paper discusses the problem of estimation of population mean in stratified random sampling. In fact, in this paper, dual to ratio and product type exponential estimators in stratified random sampling have been suggested. The biases and mean squared errors of the suggested estimators haven been obtained up to the first degree of approximation. The suggested estimators have been compared with existing estimators and conditions under which suggested estimators are more efficient than other considered estimators have been obtained. An empirical study has been carried out to demonstrate the performance of the suggested estimators.
Key concepts: Estimator, Stratified sampling, Mathematics, Statistics, Extremum estimator, M-estimator, Sampling (signal processing), Bootstrapping (finance)