품질경영학회지 (Journal of Korean Society for Quality Management)

  • 제33권1호
  • /
  • Pages.83-87
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  • 2005
  • /
  • 1229-1889(pISSN)
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  • 2287-9005(eISSN)
한국품질경영학회 (Korean Society for Quality Management)
권호 표지

저항적 포아송 회귀와 활용

Resistant Poisson Regression and Its Application

  • 발행 : 2005.03.31
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초록

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.

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참고문헌

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  2. 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 https://doi.org/10.2307/2284525
  3. McCullagh, P. and Nelder, J. A.(1983). Generalized Linear Models. Chapman and Hall, London
  4. SAS Institute(1997). SAS/STAT Software: Changes and Enhancements through Release 6.12. Cary, NC