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Mathematical formulation of multivariate euclidean models for discrimination methods

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  • Kenneth Mullen
  • Daniel Ennis

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Suggested Citation

  • Kenneth Mullen & Daniel Ennis, 1987. "Mathematical formulation of multivariate euclidean models for discrimination methods," Psychometrika, Springer;The Psychometric Society, vol. 52(2), pages 235-249, June.
  • Handle: RePEc:spr:psycho:v:52:y:1987:i:2:p:235-249
    DOI: 10.1007/BF02294237
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    References listed on IDEAS

    as
    1. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. II," Psychometrika, Springer;The Psychometric Society, vol. 27(3), pages 219-246, September.
    2. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    3. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. I," Psychometrika, Springer;The Psychometric Society, vol. 27(2), pages 125-140, June.
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    Cited by:

    1. Daniel Ennis & John Ennis, 2013. "A Thurstonian Ranking Model with Rank-Induced Dependencies," Journal of Classification, Springer;The Classification Society, vol. 30(1), pages 124-147, April.
    2. Daniel Ennis & Norman Johnson, 1994. "A general model for preferential and triadic choice in terms of centralF distribution functions," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 91-96, March.

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