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Volumn 138, Issue 3, 2008, Pages 803-816

Minimum Hellinger distance estimators for multivariate distributions from the Johnson system

Author keywords

Hellinger distance; Johnson system; Multivariate robust estimators

Indexed keywords


EID: 36049019656     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspi.2007.05.033     Document Type: Article
Times cited : (19)

References (19)
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    • Chen, D.G.1
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    • The automatic robustness of minimum distance functionals
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    • Donoho, D.L.1    Liu, R.C.2
  • 8
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    • Johnson, R.A., Evans, J.V., Green, D.V. 1999. Some bivariate distributions for modeling strength properties of lumber. 〈www.fpl.fs.fed.us/DOCUMENTS/FLPR〉.
  • 9
    • 36048994477 scopus 로고
    • Nonparametric discrimination procedures for nonnormal distributions
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    • Koffler, S.L.1    Penfield, D.A.2
  • 10
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    • Robustness of the linear and quadratic discriminant function to certain types of non-normality
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    • (1973) Commun. Statist.-Theory Methods , vol.1 , pp. 39-56
    • Lachenbruch, P.A.1    Sneeringer, C.2    Revo, L.T.3
  • 14
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    • Tamura, R.N., 1984. Minimum Hellinger distance estimation for multivariate location and scatter. Ph.D. dissertation, North Carolina State University.
  • 15
    • 84950915739 scopus 로고
    • Minimum Hellinger distance estimation for multivariate location and covariance
    • Tamura R.N., and Boos D.D. Minimum Hellinger distance estimation for multivariate location and covariance. J. Amer. Statist. Assoc. 81 (1986) 223-229
    • (1986) J. Amer. Statist. Assoc. , vol.81 , pp. 223-229
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  • 16
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    • Robust estimators for the parameters of multivariate lognormal distributions
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    • Toma, A.1
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    • Robust estimations for multivariate normal-lognormal distributions
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  • 19
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    • The minimum distance method
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.