TY - JOUR
AU - Mulani, Narendra
AB - A general, flexible LAtent DIscriminant model is described. LADI is a model-based clustering procedure, derived from a specific conceptualization in which the discrimination problem is viewed in a latent mixture context. The basic model yields maximum likelihood (ML) estimates of mixing parameters and structural parameters that define the latent clusters in terms of the responses to a set of descriptor variables. Among other features, the model accommodates descriptor variables having different scale properties, allows for the investigation of group structure, provides a statistical test of the number of latent clusters to retain, and allows for constraints to be imposed on the solution.
TI - LADI: A Latent Discriminant Model for Analyzing Marketing Research Data
JF - Journal of Marketing Research
DO - 10.1177/002224378902600102
DA - 1989-02-01
UR - https://www.deepdyve.com/lp/sage/ladi-a-latent-discriminant-model-for-analyzing-marketing-research-data-mmTzRAGdw9
SP - 15
EP - 29
VL - 26
IS - 1
DP - DeepDyve
ER -