PTR의 붓스트랩 신뢰구간

• 영문명: Bootstrap Confidence Intervals of Precision-to-Tolerance Ratio
• 발행기관: 한국산업경영시스템학회
• 저자명: 장무성(Mu-Seong Chang) 김상부(Sang-Boo Kim)
• 간행물 정보: 『산업경영시스템학회지』제30권 제2호, 37~43쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2007.06.30

영문 초록

  ANOVA is widely used for measurement system analysis. It assumes that the measurement error is normally distributed, which may not be seen in certain industrial cases. In this study, the exact and bootstrap confidence intervals for precision-to-tolerance ratio (PTR) are obtained for the cases where the measurement errors are normally and non-normally distributed and the reproducibility variation can be ignored. Lognormal and gamma distributions are considered for non-normal measurement errors. It is assumed that the quality characteristics have the same distributions of the measurement errors. Three different bootstrap methods of SB (Standard Bootstrap), PB (Percentile Bootstrap), and BCPB (Biased-Corrected Percentile Bootstrap) are used to obtain bootstrap confidence intervals for PTR. Based on a coverage proportion of PTR, a comparative study of exact and bootstrap methods is performed. Simulation results show that, for non-normal measurement error cases, the bootstrap methods of SB and BCPB are superior to the exact one.

목차

1. 서론
2. 측정시스템 분석
3. 붓스트랩 신뢰구간
4. 모의실험 연구
5. 결론
참고문헌

키워드

Nonnormal Measurement Error Precision-to-tolerance Ratio Bootstrap Confidence Interval