A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data/Commentaries/Reply: Considerations in the Use of Probabilistic Multidimensional Scaling Models
A probabilistic multidimensional scaling model that estimates both location and variance parameters for proximity and preference data is presented and compared to a deterministic scaling model. Simulated and empirical choice data are employed to compare the models. Variance estimates from the probab...
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| Veröffentlicht in: | Marketing science (Providence, R.I.) R.I.), 1986-10, Vol.5 (4), p.325 |
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| container_issue | 4 |
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| container_title | Marketing science (Providence, R.I.) |
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| creator | MacKay, David B Zinnes, Joseph L McMennamin, John L Windal, Pierre M |
| description | A probabilistic multidimensional scaling model that estimates both location and variance parameters for proximity and preference data is presented and compared to a deterministic scaling model. Simulated and empirical choice data are employed to compare the models. Variance estimates from the probabilistic model are applied to test a hypothesis about the homogeneity of stimulus perception under alternative modes of stimulus presentation. McMennamin comments that the mathematical analysis systems in MacKay and Zinnes (M-Z) are superb, but the input material too often is not. Windal regards M-Z's work as a useful extension of deterministic multidimensional scaling models, and M-Z reply that the probabilistic model they present is only a start, not the ultimate solution. |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0732-2399 |
| ispartof | Marketing science (Providence, R.I.), 1986-10, Vol.5 (4), p.325 |
| issn | 0732-2399 1526-548X |
| language | eng |
| recordid | cdi_proquest_journals_212227152 |
| source | Informs; EBSCOhost Business Source Complete; Jstor Complete Legacy |
| subjects | Mathematical models Multiple Probability Scaling Statistical analysis Statistical methods |
| title | A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data/Commentaries/Reply: Considerations in the Use of Probabilistic Multidimensional Scaling Models |
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