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Volumn 26, Issue 1, 2003, Pages 69-79

Algorithms for bivariate medians and a Fermat-Torricelli problem for lines

Author keywords

Algorithms; Computational geometry; Estimators of location; Fermat Torricelli problem; Geometric medians; Oja depth; Simplicial depth

Indexed keywords


EID: 84867945612     PISSN: 09257721     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-7721(02)00173-6     Document Type: Conference Paper
Times cited : (28)

References (23)
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    • Optimization in Arrangements
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    • Lee, D.1    Ching, Y.2
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    • Liu, R.1
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    • Multivariate analysis of data depth: Descriptive statistics, graphics and inference
    • R. Liu, J. Parelius, and K. Singh Multivariate analysis of data depth: descriptive statistics, graphics and inference Ann. Statist. 27 3 1999 783 858
    • (1999) Ann. Statist. , vol.27 , Issue.3 , pp. 783-858
    • Liu, R.1    Parelius, J.2    Singh, K.3
  • 19
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    • Algorithm AS 277: The Oja bivariate median
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    • (1992) Appl. Statist. , vol.41 , pp. 611-617
    • Niinimaa, A.1    Oja, H.2    Nyblom, J.3
  • 20
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    • The finite-sample breakdown point of the Oja bivariate median and of the corresponding half-samples version
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    • Descriptive statistics for multivariate distributions
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    • Bivariate location depth
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    • Rousseeuw, P.1    Ruts, I.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.