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A simple method for pairwise monotone regression

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  • Richard Johnson

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  • Richard Johnson, 1975. "A simple method for pairwise monotone regression," Psychometrika, Springer;The Psychometric Society, vol. 40(2), pages 163-168, June.
    • Handle: RePEc:spr:psycho:v:40:y:1975:i:2:p:163-168
    DOI: 10.1007/BF02291563
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    References listed on IDEAS

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    1. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    2. Dov Pekelman & Subrata K. Sen, 1974. "Mathematical Programming Models for the Determination of Attribute Weights," Management Science, INFORMS, vol. 20(8), pages 1217-1229, April.
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    Cited by:

    1. U. Umesh & Sanjay Mishra, 1990. "A Monte Carlo investigation of conjoint analysis index-of-fit: Goodness of fit, significance and power," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 33-44, March.
    2. Herden, Gerhard & Pallack, Andreas, 2005. "Adequateness and interpretability of objective functions in ordinal data analysis," Journal of Multivariate Analysis, Elsevier, vol. 94(1), pages 19-69, May.
    3. Yoshio Takane, 1982. "Maximum likelihood additivity analysis," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 225-241, September.
    4. Isihara, Paul & Shi, Chaojun & Ward, Jonathan & O'Malley, Leo & Laney, Skyler & Diedrichs, Danilo & Flores, Gabriel, 2020. "Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations," Journal of choice modelling, Elsevier, vol. 35(C).
    5. Randall Bissett & Bruce Schneider, 1991. "Spatial and conjoint models based on pairwise comparisons of dissimilarities and combined effects: Complete and incomplete designs," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 685-698, December.

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