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Journal of Korean Society for Quality Management > Volume 33(1); 2005 > Article
Journal of Korean Society for Quality Management 2005;33(1): 83-.
저항적 포아송 회귀와 활용
허명회1, 성내경2
1고려대학교 통계학과
2고려대학교 통계연구소
Resistant Poisson Regression and Its Application
Myung-Hoe Huh1, Nae-Kyung Sung2
1Dept. of Statistics Korea University
2Institute of Statistics Korea University
ABSTRACT
For the count response we normally consider Poisson regression model. However, the conventional fitting algorithm for Poisson regression model is not reliable at all when the response variable is measured with sizable contamination. In this study, we propose an alternative fitting algorithm that is resistant to outlying values in response and report a case study in semiconductor industry.
Key Words: Resistant Poisson Regression;Outliers;
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