DUAL TO RATIO AND PRODUCT TYPE EXPONENTIAL ESTIMATORS IN STRATIFIED RANDOM SAMPLING USING TWO AUXILIARY VARIATES

  • Rajesh Tailor School of Studies in Statistics, Vikram University, Ujjain-456010 (M.P.), India
  • Narendra Kumar Jatwa School of Studies in Statistics, Vikram University, Ujjain-456010 (M.P.), India
  • Ritesh Tailor Policy Research and Marketing Division, Institute of Wood Science and Technology, Bangalore-560003, Karnataka
  • Neha Garg School of Sciences, Indira Gandhi National Open University (IGNOU), New Delhi
Keywords: Exponential Estimator, Stratified Random Sampling, ias and Mean Squared Error

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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Published
2013-10-13
Section
Articles