Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/124653
Title: New ranked set sampling schemes for range charts limits under bivariate skewed distributions
Authors: Karagöz, Derya
Koyuncu, Nursel
Keywords: Process control -- Statistical methods
Sampling (Statistics)
Multivariate analysis -- Graphic methods
Distribution (Probability theory)
Monte Carlo method
Issue Date: 2019
Publisher: Springer
Citation: Karagöz, D., & Koyuncu, N. (2019). New ranked set sampling schemes for range charts limits under bivariate skewed distributions. Soft Computing, 23(5), 1573-1587.
Abstract: In this paper, instead of using traditional sampling schemes,we newly introduce to use ranked set, neoteric ranked set and median ranked set sampling to construct range charts control limits under the bivariate skewed distributions. Shewhart, weighted variance and skewness correction methods are considered to construct the range charts in the statistical process control. We have compared the performance of the suggested range charts under simple random and different ranked set sampling schemes by simulation study. The simulation study has showed that range charts based on skewness correction method are the most efficient under neoteric and median ranked set sampling schemes, especially in highly skewed data.
URI: https://www.um.edu.mt/library/oar/handle/123456789/124653
Appears in Collections:Scholarly Works - FacSciSOR

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