RATIO-CUM-PRODUCT ESTIMATOR OF POPULATION MEAN IN SYSTEMATIC SAMPLING USING KNOWN PARAMETERS OF AUXILIARY VARIATES

  • Rajesh Tailor School of Studies in Statistics,Vikram University, Ujjain-456010, Madhya Pradesh, India.
  • Narendra Kumar Jatwa School of Studies in Statistics,Vikram University, Ujjain-456010, Madhya Pradesh, India.
  • Ritesh Tailor Institute of Wood Science and Technology (IWST), Bangalore
Keywords: Ratio Estimator, Product Estimator, Correlation Coefficient, Coefficient of Variation, Systematic Sampling, Bias, Mean Squired Error

Abstract

In this paper, a ratio-cum-product estimator of population mean in systematic sampling has been proposed using Kadilar and Cingi (2006) estimator. The bias and mean squared error of the proposed estimator has been obtained under large sample approximation. The proposed estimator has been compared with simple mean estimator, usual ratio and product estimators in systematic sampling given by Swain (1964) and Shukla (1971) respectively. An empirical study has been carried out to demonstrate the performance of the proposed estimator.

 

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Published
2014-12-21
Section
Articles