Probabilistic multidimensional scaling: An anisotropic model for distance judgments
A probabilistic multidimensional scaling model is proposed in which the coordinates of each stimulus may be correlated and have distinct variances on each dimension. Maximum likelihood estimates of the parameters are obtained. The model is compared to deterministic and isotropic models. Properties of the model are described.
probabilistic multidimensional scaling model
scientific article; zbMATH DE number 4093242
scientific article