Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/124545
Title: Robust X̄ control chart for monitoring the skewed and contaminated process
Authors: Karagöz, Derya
Keywords: Process control -- Statistical methods
Robust statistics
Outliers (Statistics)
Weibull distribution
Issue Date: 2018
Publisher: Hacettepe University. Department of Mathematics
Citation: Karagöz, D. (2018). Robust X̄ control chart for monitoring the skewed and contaminated process. Hacettepe Journal of Mathematics and Statistics, 47(1), 223-242.
Abstract: In this paper, we propose the modified Shewhart, the modified weighted variance and the modified skewness correction methods by using trimmed mean and interquartile range estimators to construct the control limits of robust X̄ control chart for monitoring the skewed and contaminated process. A comparison between the performances of the X̄ chart for monitoring the process mean based on these three modified models is made in terms of the Type I risk probabilities and the average run length values for the various levels of skewness as well as different contamination models.
URI: https://www.um.edu.mt/library/oar/handle/123456789/124545
Appears in Collections:Scholarly Works - FacSciSOR

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