Carling K.Resistant outlier rules and the non-Gaussian case[J].Computational Statistics and Data Analysis,2000,33:249-258.
[2]
Hoaglin D C,Iglewicz B,Tukey J W.Performance of some resistant rules for outlier labeling[J].Journal of the American Statistical Association,1986,81:991-999.
[3]
Frigge M,Hoaglin D C,Iglewicz B.Some implementations of the boxplot[J].The American Statistician,1989,43:50-54.
[4]
Zhou Q,Li S N,Li X P,et al.Detection of outliers and establishment of targets in external quality assessment programs[J].Clinica Chimica Acta,2007,37:94-97.
[5]
Kimber A C.Exploratory data analysis for possibly censored data from skewed distributions[J].Applied Statistics,1990,39:21-30.
[6]
Brys G,Hubert M,Struyf A.A robust measure of skewness[J].Journal of Computational and Graphical Statistics,2004,13:996-1017.
[7]
Huber M,Vandervieren E.An adjusted boxplot for skewed distributions[J].Computational Statistics and Data Analysis,2008,52(12):5186-5201.
[8]
Schwertman N C,Owens M A,Adnan R.A simple more general boxplot method for identifying outliers[J].Computational Statistics and Data Analysis,2004,47:165-174.
[9]
Tukey J W.Exploratory data analysis[M].AddisonWesley,Reading Massachusetts,1977:39-49.
[10]
Hoaglin D C,Mosteller F,Tukey J W.Understanding Robust and Exploratory Data Analysis[M].New York:John Wiley and Sons,1983.
