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Resistant Poisson Regression and Its Application  

Huh, Myung-Hoe (Dept. of Statistics Korea University)
Sung, Nae-Kyung (Institute of Statistics Korea University)
Lim, Yong-Bin (Dept. of Statistics Ewha Woman's University)
Publication Information
Journal of Korean Society for Quality Management / v.33, no.1, 2005 , pp. 83-87 More about this Journal
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.
Keywords
Resistant Poisson Regression; Outliers;
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  • Reference
1 McCullagh, P. and Nelder, J. A.(1983). Generalized Linear Models. Chapman and Hall, London
2 SAS Institute(1997). SAS/STAT Software: Changes and Enhancements through Release 6.12. Cary, NC
3 Frome, E. L., Kutner, M. H. and Beauchamp, J. J.(1973). 'Regression analysis of Poisson-distributed data', Journal of the American Statistical Association, Vol. 68. pp. 935-940   DOI   ScienceOn
4 Cox, D. R. and Hinkley, D. V.(1974). Theoretical Statistics. Chapman and Hall, London