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An Application of CUSUM Chart on Financial Trading
2013 Ninth International Conference on Computational Intelligence and Security, 2013The applications of CUSUM quality control chart to financial markets is not new in literature. It has been shown that the filter trading rule is mathematically equivalent to the CUSUM quality control test as both are based on change point detection theory.
Yu, PLH, Lam, K, Xin, L
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Enhanced CUSUM and dual CUSUM mean charts
Communications in Statistics - Theory and Methods, 2022Abdul Haq, Ehsana Anum Syed
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Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean
Journal of Statistical Computation and Simulation, 2018The CUSUM chart is good enough to detect small-to-moderate shifts in the process parameter(s) as it can be optimally designed to detect a particular shift size.
Saba Abbasi, Abdul Haq
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2002
A problem with the conventional Shewhart charts is that the decisions are usually based on single observations. Such decision implies a high probability of false alarms. Also, small shifts in the process characteristics, which are of increasing importance from the point of view of efforts for continuous quality improvement, cannot be detected easily ...
M. Xie, T. N. Goh, V. Kuralmani
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A problem with the conventional Shewhart charts is that the decisions are usually based on single observations. Such decision implies a high probability of false alarms. Also, small shifts in the process characteristics, which are of increasing importance from the point of view of efforts for continuous quality improvement, cannot be detected easily ...
M. Xie, T. N. Goh, V. Kuralmani
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2010
Control charts have been widely used in industries to monitor process quality. We usually use two control charts to monitor the process. One chart is used for monitoring process mean and another for monitoring process variability, when dealing with variables data.
Smiley W. Cheng, Keoagile Thaga
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Control charts have been widely used in industries to monitor process quality. We usually use two control charts to monitor the process. One chart is used for monitoring process mean and another for monitoring process variability, when dealing with variables data.
Smiley W. Cheng, Keoagile Thaga
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1989
In the analysis of both variables and attributes as described in the previous chapters, the readings were plotted in time sequence and out-of-control situations determined by using the four rules for special causes. Two of these rules (the rule of seven and the middle third rule) did take into account the position of points previous to the one being ...
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In the analysis of both variables and attributes as described in the previous chapters, the readings were plotted in time sequence and out-of-control situations determined by using the four rules for special causes. Two of these rules (the rule of seven and the middle third rule) did take into account the position of points previous to the one being ...
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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
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Theoretical foundations of the CUSUM
1998This chapter gives the technical underpinnings of the rest of the book. It may be used as a reference as necessary, and skipped without loss of continuity.
Douglas M. Hawkins, David H. Olwell
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