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Information theory as a unifying statistical approach for use in marketing research

Listed author(s):
  • Brockett, Patrick L.
  • Charnes, Abraham
  • Cooper, William W.
  • Learner, David
  • Phillips, Fred Y.
Registered author(s):

    No abstract is available for this item.

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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 84 (1995)
    Issue (Month): 2 (July)
    Pages: 310-329

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    Handle: RePEc:eee:ejores:v:84:y:1995:i:2:p:310-329
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    1. A. Charnes & W. W. Cooper & D. B. Learner & F. Y. Phillips, 1984. "An MDI Model and an Algorithm for Composite Hypotheses Testing and Estimation in Marketing," Marketing Science, INFORMS, vol. 3(1), pages 55-72.
    2. M. K. Berkowitz & G. H. Haines, 1982. "Predicting Demand for Residential Solar Heating: An Attribute Method," Management Science, INFORMS, vol. 28(7), pages 717-727, July.
    3. Hirotugu Akaike, 1977. "An extension of the method of maximum likelihood and the Stein's problem," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 29(1), pages 153-164, December.
    4. Masao Nakanishi & Lee G. Cooper, 1982. "Technical Note—Simplified Estimation Procedures for MCI Models," Marketing Science, INFORMS, vol. 1(3), pages 314-322.
    5. Zellner, A., 1988. "Optimal Information-Processing And Bayes' Theorem," Papers m8803, Southern California - Department of Economics.
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