On the use of ranked set sampling for estimating super-population total: Gamma population model

Document Type : Article

Authors

Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

Abstract

Utilization of superpopulation models for estimation of population parameters is an advantageous
practice, when it is easy to recognize the relationship between the study variable with one or more
auxiliary variables. This article is concerned with estimation of finite population total under a new ranked set sampling approach, ranked set sampling without replacement (RSSWOR), using so called gamma population model (GPM). Behavior of the proposed estimator, in term of relative efficiency, is studied for various choices of a constant γ via Monte Carle experiment. The provided simulation study shows the superiority of the proposed estimator over existing estimator under same model. The sampling procedure, especially, aids in collecting data from a continuous production process.

Keywords


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Volume 28, Issue 1
Transactions on Industrial Engineering (E)
January and February 2021
Pages 465-476
  • Receive Date: 11 May 2018
  • Revise Date: 13 May 2019
  • Accept Date: 17 June 2019