다가자료에 적합한 다변수 감마-포아송 모델과 파라미터 추정방법

• 영문명: Multivariate Gamma-Poisson Model and Parameter Estimation for Polytomous Data : Application to Defective Pixels of LCD
• 발행기관: 한국산업경영시스템학회
• 저자명: 하정훈(Jung-Hoon Ha)
• 간행물 정보: 『산업경영시스템학회지』제34권 제1호, 42~51쪽, 전체 10쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2011.03.30

영문 초록

Poisson model and Gamma-Poisson model are popularly used to analyze statistical behavior from defective data. The methods are based on binary criteria, that is, good or failure. However, manufacturing industries prefer polytomous criteria for classifying manufactured products due to flexibility of marketing. In this paper, I introduce two multivariate Gamma-Poisson(MGP) models and estimation methods of the parameters in the models, which are able to handle polytomous data. The models and estimators are verified on defective pixels of LCD manufacturing. Experimental results show that both the independent MGP model and the multinomial MGP model have excellent performance in terms of mean absolute deviation and the choice of method depends on the purpose of use.

목차

1. 서 론

2. LCD 패널 제조공정의 품질관리

3. 결함에 대한 수율 모델링

4. MGP 모델에서의 파라미터 추정

5. 모의실험을 통한 파라미터 추정의 검증

6. 결 론

키워드

Yield Model Parameter Estimation Liquid Crystal Display Polytomous Data Defective Pixels