2023/05/02 by Santosh Kumar Chaudhary, Nitin Gupta, Chaudhary, Santosh Kumar +1
Computer Science · Mathematics · #60E15 #62B10 #62D05 #FOS: Mathematics #Fuzzy Systems and Optimization #Statistical Distribution Estimation and Applications #Statistical and Computational Modeling #Statistics Theory (math.ST)
paper · pdf · doi:10.48550/arxiv.2305.01227
openalex publication_date 2023/05/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In industrial, environmental, and ecological investigations, ranked set sampling is a sample method that enables the experimenter to use the whole range of population values. The ranked set sampling process can be modified in two extremely helpful ways: maximum ranked set sampling with unequal samples and minimum ranked set sampling with unequal samples. They permit an increase in set size without too many ranking errors being introduced. In this paper, we are defining general weighted extropy (GWJ) of minimum and maximum ranked set samples when samples are of unequal size (minRSSU and maxRSSU, respectively). Stochastic comparison and monotone properties have been studied under different situations. Additionally, we compare the extropy of these two sampling data with that of ranked set sampling data and simple random sampling data. Finally, Bounds of GWJ of minRSSU and maxRSSU have been obtained.