Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220792355> ?p ?o ?g. }
- W4220792355 endingPage "15" @default.
- W4220792355 startingPage "1" @default.
- W4220792355 abstract "The classical cumulative SUM (CUSUM) chart is commonly used to monitor a particular size of the mean shift. In many real processes, it is assumed that the shift level varies within a range, and the exact level of the shift size is mostly unknown. For detecting a range of shift size, the dual-CUSUM (DC) and dual-Crosier CUSUM (DCC) charts are used to provide better detection ability as compared to the CUSUM and Crosier CUSUM (CC) charts, respectively. This paper introduces a new mixed exponentially weighted moving average (EWMA)-DCC (EDCC) chart to monitor process mean. In addition, AIB-based EWMA-DC (EDC) and EDCC charts (namely, AIB-EDC and AIB-EDCC charts) are suggested to detect shifts in the process mean level. Monte Carlo simulations are used to compute the run length (RL) characteristics of the proposed charts. A detailed comparison of the proposed schemes with other competing charts is also provided. It turns out that the proposed chart provides better performance than the counterparts when detecting a range of mean shift sizes. A real-life application is also presented to illustrate the implementation of the existing and proposed charts." @default.
- W4220792355 created "2022-04-03" @default.
- W4220792355 creator A5024066241 @default.
- W4220792355 creator A5054172192 @default.
- W4220792355 creator A5057230452 @default.
- W4220792355 creator A5078576253 @default.
- W4220792355 creator A5083748653 @default.
- W4220792355 creator A5090134949 @default.
- W4220792355 date "2022-03-29" @default.
- W4220792355 modified "2023-09-25" @default.
- W4220792355 title "Novel Mixed EWMA Dual-Crosier CUSUM Mean Charts without and with Auxiliary Information" @default.
- W4220792355 cites W1936134869 @default.
- W4220792355 cites W1972553508 @default.
- W4220792355 cites W2028705130 @default.
- W4220792355 cites W2051903196 @default.
- W4220792355 cites W2098479803 @default.
- W4220792355 cites W2130827941 @default.
- W4220792355 cites W2147066973 @default.
- W4220792355 cites W2321543670 @default.
- W4220792355 cites W2336883916 @default.
- W4220792355 cites W2550646841 @default.
- W4220792355 cites W2638090535 @default.
- W4220792355 cites W2790585292 @default.
- W4220792355 cites W2792838696 @default.
- W4220792355 cites W2794157098 @default.
- W4220792355 cites W2891580689 @default.
- W4220792355 cites W2901468599 @default.
- W4220792355 cites W2904075619 @default.
- W4220792355 cites W2940910437 @default.
- W4220792355 cites W2965811105 @default.
- W4220792355 cites W2978818125 @default.
- W4220792355 cites W2993462226 @default.
- W4220792355 cites W3009020735 @default.
- W4220792355 cites W3034278393 @default.
- W4220792355 cites W3035662842 @default.
- W4220792355 cites W3037332399 @default.
- W4220792355 cites W3087143659 @default.
- W4220792355 cites W3101858702 @default.
- W4220792355 cites W3132196890 @default.
- W4220792355 cites W3133848937 @default.
- W4220792355 cites W3148543425 @default.
- W4220792355 cites W3205114385 @default.
- W4220792355 cites W3209319252 @default.
- W4220792355 cites W3216349523 @default.
- W4220792355 cites W4214824791 @default.
- W4220792355 cites W4229980202 @default.
- W4220792355 cites W4231783271 @default.
- W4220792355 cites W2904821470 @default.
- W4220792355 cites W2916215888 @default.
- W4220792355 doi "https://doi.org/10.1155/2022/1362193" @default.
- W4220792355 hasPublicationYear "2022" @default.
- W4220792355 type Work @default.
- W4220792355 citedByCount "1" @default.
- W4220792355 countsByYear W42207923552023 @default.
- W4220792355 crossrefType "journal-article" @default.
- W4220792355 hasAuthorship W4220792355A5024066241 @default.
- W4220792355 hasAuthorship W4220792355A5054172192 @default.
- W4220792355 hasAuthorship W4220792355A5057230452 @default.
- W4220792355 hasAuthorship W4220792355A5078576253 @default.
- W4220792355 hasAuthorship W4220792355A5083748653 @default.
- W4220792355 hasAuthorship W4220792355A5090134949 @default.
- W4220792355 hasBestOaLocation W42207923551 @default.
- W4220792355 hasConcept C105795698 @default.
- W4220792355 hasConcept C111919701 @default.
- W4220792355 hasConcept C127413603 @default.
- W4220792355 hasConcept C146978453 @default.
- W4220792355 hasConcept C153180895 @default.
- W4220792355 hasConcept C154945302 @default.
- W4220792355 hasConcept C178518018 @default.
- W4220792355 hasConcept C190812933 @default.
- W4220792355 hasConcept C196985124 @default.
- W4220792355 hasConcept C204323151 @default.
- W4220792355 hasConcept C33923547 @default.
- W4220792355 hasConcept C41008148 @default.
- W4220792355 hasConcept C48548287 @default.
- W4220792355 hasConcept C74746147 @default.
- W4220792355 hasConcept C98045186 @default.
- W4220792355 hasConceptScore W4220792355C105795698 @default.
- W4220792355 hasConceptScore W4220792355C111919701 @default.
- W4220792355 hasConceptScore W4220792355C127413603 @default.
- W4220792355 hasConceptScore W4220792355C146978453 @default.
- W4220792355 hasConceptScore W4220792355C153180895 @default.
- W4220792355 hasConceptScore W4220792355C154945302 @default.
- W4220792355 hasConceptScore W4220792355C178518018 @default.
- W4220792355 hasConceptScore W4220792355C190812933 @default.
- W4220792355 hasConceptScore W4220792355C196985124 @default.
- W4220792355 hasConceptScore W4220792355C204323151 @default.
- W4220792355 hasConceptScore W4220792355C33923547 @default.
- W4220792355 hasConceptScore W4220792355C41008148 @default.
- W4220792355 hasConceptScore W4220792355C48548287 @default.
- W4220792355 hasConceptScore W4220792355C74746147 @default.
- W4220792355 hasConceptScore W4220792355C98045186 @default.
- W4220792355 hasLocation W42207923551 @default.
- W4220792355 hasLocation W42207923552 @default.
- W4220792355 hasLocation W42207923553 @default.
- W4220792355 hasOpenAccess W4220792355 @default.
- W4220792355 hasPrimaryLocation W42207923551 @default.
- W4220792355 hasRelatedWork W2034329489 @default.