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Optimal Estimation Of Parameters In Market Research Models

In: Computer Aided Methods In Optimal Design And Operations

Author

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  • V. SAVANI

    (Department of Mathematics, Cardiff University, Cardiff, CF24 4AG, U.K.)

Abstract

In the modeling of market research data the so-called Gamma-Poisson model is very popular. The model fits the number of purchases of an individual product made by a random consumer. The model presumes that the number of purchases made by random households, in any time interval, follows the negative binomial distribution. The fitting of the Gamma-Poisson model requires the estimation of the mean m and shape parameter k of the negative binomial distribution. Little is known about the optimal estimation of parameters of the Gamma-Poisson model. The primary aim of this paper is to investigate the efficient estimation of these parameters.

Suggested Citation

  • V. Savani, 2006. "Optimal Estimation Of Parameters In Market Research Models," World Scientific Book Chapters, in: I D L Bogle & J Žilinskas (ed.), Computer Aided Methods In Optimal Design And Operations, chapter 9, pages 79-88, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812772954_0009
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