품질경영학회지 (Journal of Korean Society for Quality Management)
- 제24권3호
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- Pages.50-64
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- 1996
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- 1229-1889(pISSN)
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- 2287-9005(eISSN)
다수 이상치 인식(認識)을 위한 외향성 검정 절차
Outward Testing Procedure for the Identification of Multiple Outliers
- Yum, Joon-Keun (Dept. of Statistics, Dongguk University) ;
- Kim, Jong-Woo (Dept. of Mathematics Education, Cheju National University of Education)
- 발행 : 1996.09.30
초록
This article is concerned with procedures for detecting multiple y outliers in linear regression. The outward-testing procedure, which is controled by the initial subset and the minimum residuals, is suggested by two phases. The performance of this procedure is compared with others by Monte Carlo techniques and found to be superior. The procedure, however, fails in detecting y outliers that are on high-leverage cases in Phase 1. Thus, we proposed ELMS algorithm for a set of suspect observations, in Phase 1. In Phase 2, the proposed testing is conducted using the studentized residuals to see which of the suspect cases are outliers. Several examples are analyzed.
키워드