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Volumn 43, Issue 4, 2003, Pages 495-508

Visualizing categorical data in ViSta

Author keywords

Categorical data; Programming languages; Statistical packages; Visualization

Indexed keywords

GRAPH THEORY; LINEAR SYSTEMS; STATISTICAL METHODS;

EID: 0042063657     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(02)00289-X     Document Type: Article
Times cited : (10)

References (17)
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  • 7
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    • Conceptual and visual models for categorical data
    • Friendly M. Conceptual and visual models for categorical data The American Statistician 49 1995 153-160
    • (1995) The American Statistician , vol.49 , pp. 153-160
    • Friendly, M.1
  • 11
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    • An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data
    • Tenenhaus M. Young F.W. An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data Psychometrika 50 1 1985 91-119
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    • Tenenhaus, M.1    Young, F.W.2
  • 12
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    • Lisp-Stat: An Object Oriented Environment for Statistical Computing and Dynamic Graphics
    • New York: Wiley
    • Tierney L. Lisp-Stat: An Object Oriented Environment for Statistical Computing and Dynamic Graphics 1990 Wiley New York
    • (1990)
    • Tierney, L.1
  • 13
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    • Technical Report No. 557. School of Statistics, University of Minnesota
    • Tierney, L., 1991. Generalized linear models in Lisp-Stat, Technical Report No. 557. School of Statistics, University of Minnesota.
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    • Tierney, L.1
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    • Multivariate statistical visualization
    • Rao, C.R. (Ed.) Elsevier, Amsterdam
    • Young, F.W., Faldowski, R.A., McFarlane, M.M., 1993. Multivariate statistical visualization. In: Rao, C.R. (Ed.), Handbook of Statistics, Vol. 9. Elsevier, Amsterdam, 959-998.
    • (1993) Handbook of Statistics , vol.9 , pp. 959-998
    • Young, F.W.1    Faldowski, R.A.2    McFarlane, M.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.