Results 191 to 200 of about 31,697 (261)
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Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime
, 2020Monitoring the mortality associated with a surgical procedure leads to the proper decision making in a healthcare system. However, the surgical outcomes depend not only on the risk factors of each patient but also on other categorical influential ...
M. Keshavarz +2 more
semanticscholar +1 more source
Quality Engineering, 2013
Cumulative sum (CUSUM) control charts are very effective in detecting special causes. In general, the underlying distribution is supposed to be normal. In designing a CUSUM chart, it is important to know how the chart will respond to disturbances of normality.
Nazir, H.Z. +3 more
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Cumulative sum (CUSUM) control charts are very effective in detecting special causes. In general, the underlying distribution is supposed to be normal. In designing a CUSUM chart, it is important to know how the chart will respond to disturbances of normality.
Nazir, H.Z. +3 more
openaire +3 more sources
Robust cusum: a robustness study for cusum quality control schemes
Communications in Statistics - Theory and Methods, 1982A standard CUSUM control scheme and four modified CUSUM control schemes are evaluated for robustness. The average run length (ARL) for each scheme is evaluated using a contaminated normal distribution, a distribution that has longer tails than the normal.
James M Lucas, Ronald B Crosier
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Computers & industrial engineering, 2019
Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) schemes are widely used in monitoring small and persistent shifts in specific process characteristics.
A. Mukherjee, Z. L. Chong, M. Khoo
semanticscholar +1 more source
Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) schemes are widely used in monitoring small and persistent shifts in specific process characteristics.
A. Mukherjee, Z. L. Chong, M. Khoo
semanticscholar +1 more source
The Cusum Test with Ols Residuals
Econometrica, 1992Summary: We show that the CUSUM test of the stability over time of the coefficients of a linear regression model, which is usually based on recursive residuals, can also be applied to ordinary least squares residuals. We derive the limiting null distribution of the resulting test and compare its local power to that of the standard procedure.
Ploberger, Werner, Kramer, Walter
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Dual multivariate CUSUM mean charts
Computers & industrial engineering, 2019The multivariate CUSUM (MCUSUM) chart can be optimally designed to detect a specific shift in the process mean. In practice, the shift size is rarely known but it is known that it varies within a given interval.
A. Haq, Tahir Munir, M. Khoo
semanticscholar +1 more source
The Local Power of the CUSUM and CUSUM of Squares Tests
Econometric Theory, 1990We consider the local power of the cusum and cusum of squares tests for structural change in the linear regression model. We show that the local power of the cusum of squares test equals its size for a wide class of structural changes, as compared to a nontrivial local power for the cusum test.
Werner Ploberger, Walter Krämer;
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Economic Quality Control, 2009
A cumulative sum (CUSUM) control chart referred to as the SS-CUSUM chart is proposed that is capable of simultaneously detecting changes in both mean and standard deviation. The construction of this chart is based on the sum of squares of the maximum standard CUSUM statistics. The average run sengths (ARLs) are computed for comparison with other charts
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A cumulative sum (CUSUM) control chart referred to as the SS-CUSUM chart is proposed that is capable of simultaneously detecting changes in both mean and standard deviation. The construction of this chart is based on the sum of squares of the maximum standard CUSUM statistics. The average run sengths (ARLs) are computed for comparison with other charts
openaire +1 more source
Improved CUSUM monitoring of Markov counting process with frequent zeros
Quality and Reliability Engineering International, 2019There has been a growing interest in monitoring processes featuring serial dependence and zero inflation. The phenomenon of excessive zeros often occurs in count time series because of the advancement of quality in manufacturing process.
Hanwool Kim, Sangyeol Lee
semanticscholar +1 more source

