Detection of Linear Trend from a Shewhart Chart

• 발행기관: 한국자료분석학회
• 저자명: Jeong Hyeong Lee Sinsup Cho Gyemin Lee
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.2 No.2, 249~254쪽, 전체 6쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2000.06.30

영문 초록

In the statistical process control, a primary tool to deal with slope or linear trend is the use of supplementary runs rules. Although it can be applied to any process with a linear trend, it does not estimate the rate-of-change parameter in a sample interval. In addition, the detection capability of supplementary run rule is not always great. In this paper, we propose an estimation method of the rate-of-change parameter in a sample interval which will lead to a useful detection rule for the linear trend. Some simulation results are also reported.

목차

1. Introduction

2. Statistical Inference on Linear Time Trend Model

3. Simulation Results

4. Concluding Remarks

References

키워드

Shewhart chart linear trend run rules OLS ARL