Proceedings of the Korean Statistical Society Conference (한국통계학회:학술대회논문집)

The Korean Statistical Society (한국통계학회)
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  • 고영현 (포항공과대학교 산업공학과) ;
  • 이혜선 (포항공과대학교 산업공학과) ;
  • 전치혁 (포항공과대학교 산업공학과)
  • Published : 2000.11.01
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Abstract

Genetic algorithm(GA) is applied for detecting multiple outliers. GA is a heuristic optimization tool solving for near optimal solution. We compare the performance of GA and the other diagnostic measures commonly used for detecting outliers in regression model. The results show that GA seems to have better performance than the others for the detection of multiple outliers.

Keywords