Abstract | ||
---|---|---|
•Combining the advantages of a nonparametric chart with an adaptive chart.•Exact run length properties without expensive simulation or unreliable approximation.•An increased sensitivity in detecting a specific magnitude of shift.•A better overall properties for detecting a range of unknown shifts. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.cie.2019.02.045 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Adaptive EWMA sign chart,Count data,Distribution-free chart | Parametric Probability Distribution,Mathematical optimization,Statistic,Markov chain,EWMA chart,Nonparametric statistics,Control chart,Count data,Chart,Engineering | Journal |
Volume | ISSN | Citations |
130 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anan Tang | 1 | 0 | 0.34 |
Jinsheng Sun | 2 | 356 | 32.12 |
Xuelong Hu | 3 | 7 | 4.03 |
Philippe Castagliola | 4 | 529 | 61.65 |