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https://www.um.edu.mt/library/oar/handle/123456789/124617| Title: | Ranked set sampling designs for monitoring the skew-normal process |
| Other Titles: | Çarpık-normal sürecin izlenmesi için sıralı küme örnekleme tasarımları |
| Authors: | Karagöz, Derya Koyuncu, Nursel |
| Keywords: | Analysis of variance -- Mathematical models Distribution (Probability theory) Process control -- Statistical methods Quality control -- Statistical methods Monte Carlo method |
| Issue Date: | 2019 |
| Publisher: | Actuarial Society |
| Citation: | Karagöz, D., & Koyuncu, N. (2019). Ranked set sampling designs for monitoring the skew-normal process. İstatistikçiler Dergisi: İstatistik ve Aktüerya, 12(1), 1-14. |
| Abstract: | In this study, we have proposed to use various ranked set sampling designs to construct the mean charts based on Shewhart, weighted variance and skewness correction methods that are applied to monitor the process variability under the skew-normal process. The performance of the mean charts based on various ranked set sampling designs are compared with simple random sampling by Monte Carlo simulation. Simulation results revealed that the mean charts based on various ranked set sampling perform much better than simple random sampling. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/124617 |
| ISSN: | 13080539 |
| Appears in Collections: | Scholarly Works - FacSciSOR |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ranked set sampling designs for monitoring the skew-normal process 2019.pdf | 1.42 MB | Adobe PDF | View/Open |
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