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Paper Type ![]() |
Contributed Paper |
Title ![]() |
Three Non-parametric Control Charts Based on Ranked Set Sampling |
Author ![]() |
Waliporn Tapang, Adisak Pongpullponsak* and Sukuman Sarikavanij |
Email ![]() |
adisak.pon@kmutt.ac.th |
Abstract: In this study, the ranked set sampling (RSS) is applied to the three nonparametric control charts: the Mann – Whitney statistics
(U-chart), the Wilcoxon rank sum test (W – chart) and the Hodges - Lehmann estimator (HL – chart) in order to reduce bias in sampling procedure. The data are generated from normal distribution, uniform distribution, and 11 shapes of Weibull distributions with the process mean shift in d times of standard deviation (d = 0.50, 1, 1.5, 2, 2.5, and 3). The results show that the in control average run length (ARL) of the three control charts with RSS are higher than the Shewhart X bar chart at +/-3 standard deviation control limits. When the shift occurs, the out of control ARL of HL – chart is the lowest in every mean shift. |
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Start & End Page ![]() |
915 - 930 |
Received Date ![]() |
2015-05-24 |
Revised Date ![]() |
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Accepted Date ![]() |
2015-10-19 |
Full Text ![]() |
Download |
Keyword ![]() |
Ranked set sampling, Nonparametric control charts, Wilcoxon rank sum test, Mann - Whitney statistics, Hodges - Lehmann estimator |
Volume ![]() |
Vol.43 No.4 (JULY 2016) |
DOI |
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Citation |
Tapang W., Pongpullponsak* A. and Sarikavanij S., Three Non-parametric Control Charts Based on Ranked Set Sampling, Chiang Mai Journal of Science, 2016; 43(4): 915-930. |
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