, Volume 48, Issue 4, pp 553-566

First online:

A maximum likelihood method for fitting the wandering vector model

  • Geert De SoeteAffiliated withDepartment of Psychology, University of Ghent
  • , J. D. CarrollAffiliated withBell Laboratories

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After introducing some extensions of a recently proposed probabilistic vector model for representing paired comparisons choice data, an iterative procedure for obtaining maximum likelihood estimates of the model parameters is developed. The possibility of testing various hypotheses by means of likelihood ratio tests is discussed. Finally, the algorithm is applied to some existing data sets for illustrative purposes.

Key words

preference paired comparisons data maximum likelihood multidimensional scaling method of successive categories