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A Simple Method for Pairwise Monotone Regression

Published online by Cambridge University Press:  01 January 2025

Richard M. Johnson
Richard M. Johnson*
Affiliation:
Market Facts, Inc.
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Abstract

A simple method of monotone regression is described based on the principle of minimizing pairwise departures from monotonicity.

Information

Type
Original Paper
Information
Psychometrika , Volume 40 , Issue 2 , June 1975 , pp. 163 - 168
Copyright
Copyright © 1975 The Psychometric Society

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References

Barlow, R. E., Bartholomew, D. J., Bremner, J. M., and Brunk, H. D. Statistical inference under order restrictions. Wiley, 1972.Google Scholar
Carroll, J. D. Individual differences and multidimensional scaling. In Romney, A., Shepard, R., and Nerlove, S. (eds.), Multidimensional Scaling: Theory and applications in the behavioral sciences (Vol. 1, Theory). Seminar Press, 1972.Google Scholar
Davidson, J. D.. Forecasting traffic on STOL. Operational Research Quarterly, 1973, 24, 561–569.CrossRefGoogle Scholar
Fiedler, J. A. Condominium design and pricing: a case study in consumer trade-off analysis. Proceedings. Third annual conference of the Association for Consumer Research, 1972, 279–293.Google Scholar
Green, P. E., and Rao, V.. Conjoint measurement for quantifying judgmental data. Journal of Marketing Research, 1971, 8, 355–363.Google Scholar
Johnson, R. M.. Pairwise nonmetric multidimensional scaling. Psychometrika, 1973, 38, 11–18.CrossRefGoogle Scholar
Johnson, R. M.. Trade-off analysis of consumer values. Journal of Marketing Research, 1974, 11, 121–127.CrossRefGoogle Scholar
Kruskal, J. B.. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 1964, 29, 1–27.CrossRefGoogle Scholar
Kruskal, J. B.. Nonmetric multidimensional scaling: a numerical method. Psychometrika, 1964, 29, 115–129.CrossRefGoogle Scholar
Kruskal, J. B.. Analysis of factorial experiments by estimating monotone transformations of the data. Journal of the Royal Statistical Society, Series B, 1965, 27, 251–263.CrossRefGoogle Scholar
Peckelman, D. and Sen, S.. Mathematical programming models for the determination of attribute weights. Management Science, 1974, 20, 1217–1229.CrossRefGoogle Scholar
Srinivasan, J. and Shocker, A. D.. Linear programming techniques for multidimensional analysis of preferences. Psychometrika, 1973, 38, 337–370.CrossRefGoogle Scholar