The MDI Method as a Generalization of Logit, Probit and Hendry Analyses in Marketing.

Abstract

Constrained minimum discrimination information methods provide a basis for a unified approach to a wide range of problems in marketing research. For instance, they lead to characterization parallel to those of the Hendry system and other entropic approaches, with greater economy of assumptions. Goodness-of-fit tests and a structure for decision modelling are supplied from the same basic models with a range of applications that include market segmentation and brand shifting choices. Other probabilistic models of marketing choice (logit, MCI, etc.) are also comprehend in ways that resolve many logical and computational difficulties in these other approaches. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA091161

Entities

People

  • Abraham Charnes
  • D. B. Learner
  • F. Y. Phillips
  • William W. Cooper

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Commerce
  • Convex Programming
  • Data Science
  • Economics
  • Equations
  • Factor Analysis
  • Goodness Of Fit Tests
  • Information Science
  • Information Theory
  • Knowledge Management
  • Market Research
  • Mathematical Programming
  • New York
  • Probabilistic Models
  • Probability
  • Statistical Algorithms
  • Statistical Analysis

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.
  • Systems Analysis and Design