TY - JOUR
AU - Zinnes, Joseph L.
AB - A probabilistic multidimensional scaling model that estimates both location and variance parameters for proximity and preference data is described and compared to a deterministic scaling model. Simulated and empirical choice data are used to compare models. Variance estimates from the probabilistic model are used to test a hypothesis about the homogeneity of stimulus perception under alternative modes of stimulus presentation.
TI - A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data
JF - Marketing Science
DO - 10.1287/mksc.5.4.325
DA - 1986-11-01
UR - https://www.deepdyve.com/lp/informs/a-probabilistic-model-for-the-multidimensional-scaling-of-proximity-mAu5t1fXEv
SP - 325
EP - 344
VL - 5
IS - 4
DP - DeepDyve
ER -