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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.4
- 수록면
- 525 - 533 (9page)
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초록· 키워드
오류제보하기
Modern production process is a very complex structure combined observations which are correlated with several factors. When the error signal occurs in the process, it is very difficult to know the root causes of an out-of-control signal because of insufficient information. However, if we know the time of the change, the system can be controlled more easily. To know it, we derive a maximum likelihood estimator (MLE) of thechange point in a process when observations are from a multivariate IMA(1,1) processby monitoring residual vectors of the model. In this paper, numerical results show that the MLE of change point is effective in detecting changes in a process.
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참고문헌 (9)
참고문헌 신청
1. [학술지(정기간행물)] - Box, G. / 1992 / Statistical process monitoring and feedback adjustment-A discussion / Technometrics 34 : 251 ~ 267
2. [학술지(정기간행물)] - 마상렬 / 2009 / 정형의학적 마사지가 수근관 증후군 환자의 통증, 악력, 기능적 평가의 등급에 미치는 영향 / 한국데이터정보과학회지 20 (1) : 97 ~ 107
3. [학술지(정기간행물)] - Lowry, C. A. / 1992 / A multivariate exponentially weighted moving average chart / Technometrics 34 : 46 ~ 53
4. [학술지(정기간행물)] - Lu, C. W. / 1999 / EWMA control charts for monitoring the mean of autocorrelated processes / Journal of Quality Technology 31 : 166 ~ 188
5. [학술지(정기간행물)] - Montgomery, D. C. / 1991 / Some statistical process control methods for autocor-relation Data / Journal of Quality Technology 23 : 179 ~ 193
2. [학술지(정기간행물)] - 마상렬 / 2009 / 정형의학적 마사지가 수근관 증후군 환자의 통증, 악력, 기능적 평가의 등급에 미치는 영향 / 한국데이터정보과학회지 20 (1) : 97 ~ 107
3. [학술지(정기간행물)] - Lowry, C. A. / 1992 / A multivariate exponentially weighted moving average chart / Technometrics 34 : 46 ~ 53
4. [학술지(정기간행물)] - Lu, C. W. / 1999 / EWMA control charts for monitoring the mean of autocorrelated processes / Journal of Quality Technology 31 : 166 ~ 188
5. [학술지(정기간행물)] - Montgomery, D. C. / 1991 / Some statistical process control methods for autocor-relation Data / Journal of Quality Technology 23 : 179 ~ 193
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UCI(KEPA) : I410-ECN-0101-2018-041-001376401