ordered successive categories, maximum likelihood, consumer psychology, multidimensional unfolding,
This paper presents a new stochastic multidimensional scaling procedure for the analysis of three-mo...
This paper describes the development of an unfolding methodology designed to analyze "pick any" or ...
In the framework of preference rankings, the interest can lie in clustering individuals or items in ...
consumer psychology, multidimensional scaling, maximum likelihood, consideration sets, multidimensio...
This paper presents the development of a new stochastic multidimensional (scaling) unfolding (Coombs...
There has been great advancement on research for preferential choice in field of marketing. When we ...
In unfolding for two-way two-mode preference ratings data, the categorization of the set of individu...
textabstractOver the last ten years major progress has been made in the area of multidimensional pre...
International audienceVarious deterministic and latent structure approaches for combining forms of m...
grantor: University of TorontoThe collection of data by rating questionnaires is so common...
A model is proposed which treats rankings given by a group of judges as representing regions in an i...
A probabilistic multidimensional scaling model that estimates both location and variance parameters ...
A technique to scale preferences in relation to an externally derived stimulus configuration, called...
A probabilistic model is developed for the pair-comparison design in which the unfolding principle t...
Given the preference ordering of each of a number of individuaIs over a set of stimuli, it is propos...
This paper presents a new stochastic multidimensional scaling procedure for the analysis of three-mo...
This paper describes the development of an unfolding methodology designed to analyze "pick any" or ...
In the framework of preference rankings, the interest can lie in clustering individuals or items in ...
consumer psychology, multidimensional scaling, maximum likelihood, consideration sets, multidimensio...
This paper presents the development of a new stochastic multidimensional (scaling) unfolding (Coombs...
There has been great advancement on research for preferential choice in field of marketing. When we ...
In unfolding for two-way two-mode preference ratings data, the categorization of the set of individu...
textabstractOver the last ten years major progress has been made in the area of multidimensional pre...
International audienceVarious deterministic and latent structure approaches for combining forms of m...
grantor: University of TorontoThe collection of data by rating questionnaires is so common...
A model is proposed which treats rankings given by a group of judges as representing regions in an i...
A probabilistic multidimensional scaling model that estimates both location and variance parameters ...
A technique to scale preferences in relation to an externally derived stimulus configuration, called...
A probabilistic model is developed for the pair-comparison design in which the unfolding principle t...
Given the preference ordering of each of a number of individuaIs over a set of stimuli, it is propos...
This paper presents a new stochastic multidimensional scaling procedure for the analysis of three-mo...
This paper describes the development of an unfolding methodology designed to analyze "pick any" or ...
In the framework of preference rankings, the interest can lie in clustering individuals or items in ...
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