The exact solution of the average run length on a modified EWMA control chart for the first-order moving-average process
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Average Run Length Performance for Multivariate Exponentially Weighted Moving Average Control Chart Procedure with Application
The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate exponentially weighted moving average (MEWMA) developed by Lowry, et al (1992) is an example of a multivariate charting scheme whose monitoring statistic is unable to determine which variable caused the signal. In this paper, the run length performance of m...
متن کاملThe Average Run Length Performance of a Multivariate Exponentially Weighted Moving Average Control Chart Procedure with Application
One of the most powerful tools in quality control is the statistical control chart. First developed in the 1920's by Walter Shewhart, the control chart found widespread use during World War II and has been employed, with various modifications ever since. The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate ex...
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When modeling time series data using autoregressive-moving average processes, it is a common practice to presume that the residuals are normally distributed. However, sometimes we encounter non-normal residuals and asymmetry of data marginal distribution. Despite widespread use of pure autoregressive processes for modeling non-normal time series, the autoregressive-moving average models have le...
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ژورنال
عنوان ژورنال: ScienceAsia
سال: 2020
ISSN: 1513-1874
DOI: 10.2306/scienceasia1513-1874.2020.015