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A maximum likelihood method for fitting the wandering vector model

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  • Geert Soete
  • J. Carroll

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  • Geert Soete & J. Carroll, 1983. "A maximum likelihood method for fitting the wandering vector model," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 553-566, December.
    • Handle: RePEc:spr:psycho:v:48:y:1983:i:4:p:553-566
    DOI: 10.1007/BF02293879
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    References listed on IDEAS

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    1. Yoshio Takane & J. Carroll, 1981. "Nonmetric maximum likelihood multidimensional scaling from directional rankings of similarities," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 389-405, December.
    2. Peter Schönemann & Ledyard Tucker, 1967. "A maximum likelihood solution for the method of successive intervals allowing for unequal stimulus dispersions," Psychometrika, Springer;The Psychometric Society, vol. 32(4), pages 403-417, December.
    3. J. Ramsay, 1977. "Maximum likelihood estimation in multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 42(2), pages 241-266, June.
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    Citations

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    Cited by:

    1. Gert Storms, 1995. "On the robustness of maximum likelihood scaling for violations of the error model," Psychometrika, Springer;The Psychometric Society, vol. 60(2), pages 247-258, June.
    2. Yoshio Takane & Tadashi Shibayama, 1991. "Principal component analysis with external information on both subjects and variables," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 97-120, March.
    3. Wayne DeSarbo & Venkatram Ramaswamy & Peter Lenk, 1993. "A latent class procedure for the structural analysis of two-way compositional data," Journal of Classification, Springer;The Classification Society, vol. 10(2), pages 159-193, December.
    4. Samuel Merrill III & Bernard Grofman, 1997. "Symposium. The Directional Theory of Issue Voting: II," Journal of Theoretical Politics, , vol. 9(1), pages 25-48, January.
    5. Yoshio Takane & Jan Leeuw, 1987. "On the relationship between item response theory and factor analysis of discretized variables," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 393-408, September.
    6. Candel, Math J. J. M. & Pennings, Joost M. E., 1999. "Attitude-based models for binary choices: A test for choices involving an innovation," Journal of Economic Psychology, Elsevier, vol. 20(5), pages 547-569, October.
    7. Anders Skrondal & Sophia Rabe-Hesketh, 2003. "Multilevel logistic regression for polytomous data and rankings," Psychometrika, Springer;The Psychometric Society, vol. 68(2), pages 267-287, June.
    8. Geert Soete & Suzanne Winsberg, 1993. "A thurstonian pairwise choice model with univariate and multivariate spline transformations," Psychometrika, Springer;The Psychometric Society, vol. 58(2), pages 233-256, June.
    9. Wai Chan & Peter Bentler, 1998. "Covariance structure analysis of ordinal ipsative data," Psychometrika, Springer;The Psychometric Society, vol. 63(4), pages 369-399, December.
    10. Anna Brown, 2016. "Item Response Models for Forced-Choice Questionnaires: A Common Framework," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 135-160, March.
    11. Willem Heiser, 2013. "In memoriam, J. Douglas Carroll 1939–2011," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 5-13, January.
    12. Ulf Böckenholt, 1990. "Multivariate thurstonian models," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 391-403, June.
    13. Wayne DeSarbo & Kamel Jedidi & Joel Steckel, 1991. "A stochastic multidimensional scaling procedure for the empirical determination of convex indifference curves for preference/choice analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 279-307, June.
    14. Maydeu-Olivares, Albert, 2002. "Limited information estimation and testing of Thurstonian models for preference data," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 467-483, July.
    15. Wayne DeSarbo & Jaewun Cho, 1989. "A stochastic multidimensional scaling vector threshold model for the spatial representation of “pick any/n” data," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 105-129, March.

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