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Volumn 27, Issue 4, 1998, Pages 461-484

A clustering algorithm for identifying multiple outliers in linear regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS;

EID: 0032486019     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(98)00021-8     Document Type: Article
Times cited : (37)

References (21)
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    • Cook, R.D.1    Weisberg, S.2
  • 5
    • 0021521740 scopus 로고
    • K-clustering as a detection tool for influential subsets in regression
    • Gray, J.B., Ling, R.F., 1984, K-clustering as a detection tool for influential subsets in regression. Technometrics 26, 305-330.
    • (1984) Technometrics , vol.26 , pp. 305-330
    • Gray, J.B.1    Ling, R.F.2
  • 6
    • 68949159166 scopus 로고
    • Letter to the editor: Comments on Paul and Fung (1991)
    • Hadi, A.S., Simonoff, J.S., 1992. Letter to the Editor: Comments on Paul and Fung (1991). Technometrics 34, 375-377.
    • (1992) Technometrics , vol.34 , pp. 375-377
    • Hadi, A.S.1    Simonoff, J.S.2
  • 7
    • 21344485226 scopus 로고
    • Procedures for the identification of multiple outliers in linear models
    • Hadi, A.S., Simonoff, J.S., 1993. Procedures for the identification of multiple outliers in linear models. J. Amer. Statist. Assoc. 88 (424) 1264-1272.
    • (1993) J. Amer. Statist. Assoc. , vol.88 , Issue.424 , pp. 1264-1272
    • Hadi, A.S.1    Simonoff, J.S.2
  • 8
    • 0021482113 scopus 로고
    • Location of several outliers in multiple regression data using elemental sets
    • Hawkins, D.M., Bradu, D., Kass, G.V., 1984. Location of several outliers in multiple regression data using elemental sets. Technometrics 26, 197-208.
    • (1984) Technometrics , vol.26 , pp. 197-208
    • Hawkins, D.M.1    Bradu, D.2    Kass, G.V.3
  • 11
    • 84972948245 scopus 로고
    • A Monte Carlo comparison of five procedures for identifying outliers in linear regression
    • Kianifard, F., Swallow, W., 1990. A Monte Carlo comparison of five procedures for identifying outliers in linear regression. Comm. Statist., Part A - Theory and Methods 19, 1913-1938.
    • (1990) Comm. Statist., Part A - Theory and Methods , vol.19 , pp. 1913-1938
    • Kianifard, F.1    Swallow, W.2
  • 13
    • 0344295831 scopus 로고
    • Discussion of Rousseeuw, P.J. and van Zomeren, B.C.
    • Kempthorne, P.J., Mendel, M.B., 1990. Discussion of Rousseeuw, P.J. and van Zomeren, B.C.
    • (1990)
    • Kempthorne, P.J.1    Mendel, M.B.2
  • 14
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan, G.W., Cooper, M.C., 1985. An examination of procedures for determining the number of clusters in a data set. Psychometrika 50 (2) 159-179.
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 15
    • 0000930268 scopus 로고
    • Hierarchical grouping methods and stopping rules: An evaluation
    • Mojena, R., 1977. Hierarchical grouping methods and stopping rules: an evaluation. Comput. J. 20, 359-363.
    • (1977) Comput. J. , vol.20 , pp. 359-363
    • Mojena, R.1
  • 16
    • 0001045983 scopus 로고
    • The detection of influential subsets in linear regression by using an influence matrix
    • Pena, D., Yohai, V.J., 1995. The detection of influential subsets in linear regression by using an influence matrix. J. Roy. Statist. Soc. Ser. B 57 (1) 145-156.
    • (1995) J. Roy. Statist. Soc. Ser. B , vol.57 , Issue.1 , pp. 145-156
    • Pena, D.1    Yohai, V.J.2
  • 17
  • 20
    • 0001855908 scopus 로고
    • General approaches to stepwise identification of unusual values in data analysis
    • Stahel, W., Weisberg, S. (Eds.). Springer, Heidelberg
    • Simonoff, J., 1991. General approaches to stepwise identification of unusual values in data analysis. In: Stahel, W., Weisberg, S. (Eds.), Directions in Robust Statistics and Diagnostics, Part II. Springer, Heidelberg.
    • (1991) Directions in Robust Statistics and Diagnostics, Part II
    • Simonoff, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.