on the use of ranked set sampling for estimating super-population total: gamma population model

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.