메뉴 건너뛰기




Volumn 47, Issue 1, 2004, Pages 165-174

A simple more general boxplot method for identifying outliers

Author keywords

Asymmetric; Fences; Hinge

Indexed keywords

APPROXIMATION THEORY; GRAPH THEORY; PROBABILITY; SET THEORY; STATISTICAL METHODS;

EID: 4544224452     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2003.10.012     Document Type: Article
Times cited : (256)

References (29)
  • 1
    • 0016128052 scopus 로고
    • A robust method for multiple linear regression
    • Andrews D.F. A robust method for multiple linear regression. Technometrics. 16:1974;523-531.
    • (1974) Technometrics , vol.16 , pp. 523-531
    • Andrews, D.F.1
  • 3
    • 21844510157 scopus 로고
    • Fast very robust methods for the detection of multiple outliers
    • Atkinson A.C. Fast very robust methods for the detection of multiple outliers. J. Amer. Statist. Assoc. 89:1994;1329-1339.
    • (1994) J. Amer. Statist. Assoc. , vol.89 , pp. 1329-1339
    • Atkinson, A.C.1
  • 4
    • 1542718240 scopus 로고
    • A new graphical method for detecting single and multiple outliers in univariate and multivariate data
    • Bacon-Shone J., Fung W.K. A new graphical method for detecting single and multiple outliers in univariate and multivariate data. Appl. Statist. 36:1987;153-162.
    • (1987) Appl. Statist. , vol.36 , pp. 153-162
    • Bacon-Shone, J.1    Fung, W.K.2
  • 5
    • 0343460957 scopus 로고
    • The study of outliers: Purpose and model
    • Barnett V. The study of outliers purpose and model . Appl. Statist. 27:1978;242-250.
    • (1978) Appl. Statist. , vol.27 , pp. 242-250
    • Barnett, V.1
  • 8
    • 1542403696 scopus 로고
    • Detection of the numbers of outliers present in a dataset using an information theoretic criterion
    • Bhandary M. Detection of the numbers of outliers present in a dataset using an information theoretic criterion. Comm. Statist. Theory Methods. 21:1992;3263-3274.
    • (1992) Comm. Statist. Theory Methods , vol.21 , pp. 3263-3274
    • Bhandary, M.1
  • 10
    • 0038001881 scopus 로고
    • Comparing classical and resistant outlier rules
    • Brant R. Comparing classical and resistant outlier rules. J. Amer. Statist. Assoc. 85:1990;1083-1090.
    • (1990) J. Amer. Statist. Assoc. , vol.85 , pp. 1083-1090
    • Brant, R.1
  • 11
    • 0034117015 scopus 로고    scopus 로고
    • Resistant outlier rules and the non-Gaussian case
    • Carling K. Resistant outlier rules and the non-Gaussian case. Comput. Statist. Data Anal. 33:(3):2000;249-258.
    • (2000) Comput. Statist. Data Anal. , vol.33 , Issue.3 , pp. 249-258
    • Carling, K.1
  • 14
    • 0043033542 scopus 로고
    • A new look at quartiles of ungrouped data
    • Freund J.E., Perles B.M. A new look at quartiles of ungrouped data. Amer. Statist. 41:1987;200-203.
    • (1987) Amer. Statist. , vol.41 , pp. 200-203
    • Freund, J.E.1    Perles, B.M.2
  • 16
    • 0002954125 scopus 로고
    • Robust estimates, residuals, and outlier detection with multiresponse data
    • Gnanadesikan R., Kettenring J.R. Robust estimates, residuals, and outlier detection with multiresponse data. Biometrics. 28:1972;81-124.
    • (1972) Biometrics , vol.28 , pp. 81-124
    • Gnanadesikan, R.1    Kettenring, J.R.2
  • 17
    • 0022060167 scopus 로고
    • The breakdown points of the mean combined with some rejection rules
    • Hampel F.R. The breakdown points of the mean combined with some rejection rules. Technometrics. 27:1985;95-107.
    • (1985) Technometrics , vol.27 , pp. 95-107
    • Hampel, F.R.1
  • 18
    • 0001160153 scopus 로고
    • A new distribution-free quantile estimator
    • Harrell F.E., Davis C.E. A new distribution-free quantile estimator. Biometrika. 69:1982;635-640.
    • (1982) Biometrika , vol.69 , pp. 635-640
    • Harrell, F.E.1    Davis, C.E.2
  • 19
    • 0001131777 scopus 로고
    • Expected values of normal order statistics
    • Harter H.L. Expected values of normal order statistics. Biometrika. 48:1961;151-165.
    • (1961) Biometrika , vol.48 , pp. 151-165
    • Harter, H.L.1
  • 21
    • 84930972635 scopus 로고
    • Fine-tuning, some resistant rules for outlier labeling
    • Hoaglin D.C., Iglewicz B. Fine-tuning, some resistant rules for outlier labeling. J. Amer. Statist. Assoc. 82:1987;1147-1149.
    • (1987) J. Amer. Statist. Assoc. , vol.82 , pp. 1147-1149
    • Hoaglin, D.C.1    Iglewicz, B.2
  • 24
    • 0030336504 scopus 로고    scopus 로고
    • Sample quantiles in statistical packages
    • Hyndman R.B., Fan Y. Sample quantiles in statistical packages. Amer. Statist. 50:1996;361-365.
    • (1996) Amer. Statist. , vol.50 , pp. 361-365
    • Hyndman, R.B.1    Fan, Y.2
  • 25
    • 0039110058 scopus 로고
    • Exploratory data analysis for possibly censored data from skewed distribution
    • Kimber A.C. Exploratory data analysis for possibly censored data from skewed distribution. Appl. Statist. 39:1990;21-30.
    • (1990) Appl. Statist. , vol.39 , pp. 21-30
    • Kimber, A.C.1
  • 27
    • 0030555603 scopus 로고    scopus 로고
    • Appropriate critical values when testing for a single multivariate outlier by using the mahalanobis distance
    • Penny K.I. Appropriate critical values when testing for a single multivariate outlier by using the mahalanobis distance. Appl. Statist. 45:1996;73-81.
    • (1996) Appl. Statist. , vol.45 , pp. 73-81
    • Penny, K.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.