In this note, the authors show that the latent segmentation model developed by Ramaswamy, Chatterjee, and Cohen (1996) is nonidentifiable, and therefore, the parameters of interest are nonestimable.
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References
1.
RamaswamyV., ChatterjeeR., and CohenS.H., (1996), “Joint Segmentation on Distinct Interdependent Bases with Categorical Data,”Journal of Marketing Research, 33(August), 337–50.
2.
TitteringtonD.M., SmithA.F.M., and MakovU.E. (1985), Statistical Analysis of Finite Mixture Distributions.New York: John Wiley & Sons.
3.
WalkerS.G. (1996), “A Bayesian Maximum a Posteriori Algorithm for Categorical Data Under Noninformative Censoring,”The Statistician (Journal of the Royal Statistical Society, D), 45, 293–98.