A GENERAL PROCEDURE FOR ESTIMATING FINITE POPULATION MEAN USING RANKED SET SAMPLING

Authors

  • Vishal Mehta Department of Mathematics, Jaypee University of Information Technology (JUIT), Waknaghat-173234, Solan, Himachal Pradesh, India.
  • Housila P. Singh School of Studied in Statistics, Vikram University, Ujjain-456010, Madhya Pradesh, India.
  • Surya Kant Pal University School of Business, Chandigarh University, Mohali-140413, Punjab, India.

Keywords:

Bias, Minimum Mean Squared Error Estimators, Ranked Set Sampling, Ratio- Cum-Product Type Estimator,, imple Random Sampling.

Abstract

In this article, we have suggested general class of estimators of the finite population mean using an auxiliary variable that is correlated with the variable of interest using ranked set sampling (RSS) method. We also obtained the biases and mean squared errors (MSEs) of various suggested estimators. We have compared newly suggested generalised ratio-cum-product type estimators to others existing estimators and shows that our suggested estimators are better than other existing estimators. This paper also provides the correct expressions of MSE of the estimators due to Mehta and Mandowara (2012, 2016) and Mandowara and Mehta (2013).

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Published

2024-06-05

How to Cite

Mehta, V., Singh , H. P., & Kant Pal, S. (2024). A GENERAL PROCEDURE FOR ESTIMATING FINITE POPULATION MEAN USING RANKED SET SAMPLING. Investigación Operacional, 41(1). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9093

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