Fine-Tuning Some Resistant Rules for Outlier Labeling
作者： David C. Hoaglin , Boris Iglewicz
DOI: 10.1080/01621459.1987.10478551
关键词:
摘要: … We obtain such values of k at selected sample sizes n 5 300. … At each of the sample sizes n = 5(1)20,29(1)32,37(1)40,49(1)… sample the number of observations labeled as outside by the …
jstor.org 
sci-hub.se 参考文章(7)
Bernard Rosner, Percentage Points for a Generalized ESD Many-Outlier Procedure Technometrics. ,vol. 25, pp. 165- 172 ,(1983) , 10.1080/00401706.1983.10487848
David C. Hoaglin, Boris Iglewicz, John W. Tukey, Performance of Some Resistant Rules for Outlier Labeling Journal of the American Statistical Association. ,vol. 81, pp. 991- 999 ,(1986) , 10.1080/01621459.1986.10478363
Bernard Rosner, On the Detection of Many Outliers Technometrics. ,vol. 17, pp. 221- 227 ,(1975) , 10.1080/00401706.1975.10489305
Jeffrey S. Simonoff, A comparison of robust methods and detection of outliers techniques when estimating a location parameter Communications in Statistics-theory and Methods. ,vol. 13, pp. 813- 842 ,(1984) , 10.1080/03610928408828722
Rupert G. Miller, Simultaneous Statistical Inference ,(1966)
John W. Tukey, Exploratory data analysis eda. ,(1977)
Frederick Mosteller, Stephen E. Fienberg, Robert E. K. Rourke, Beginning Statistics with Data Analysis ,(1983)