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Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution

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  • A. Narayanan

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  • A. Narayanan, 1991. "Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 365-374, June.
    • Handle: RePEc:bla:jorssc:v:40:y:1991:i:2:p:365-374
    DOI: 10.2307/2347605
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    Cited by:

    1. R. L.J. Coetzer & R. F Rossouw & N. J. Le Roux, 2012. "Efficient maximin distance designs for experiments in mixtures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 1939-1951, May.
    2. Wicker, Nicolas & Muller, Jean & Kalathur, Ravi Kiran Reddy & Poch, Olivier, 2008. "A maximum likelihood approximation method for Dirichlet's parameter estimation," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1315-1322, January.
    3. Wayne DeSarbo & Venkatram Ramaswamy & Peter Lenk, 1993. "A latent class procedure for the structural analysis of two-way compositional data," Journal of Classification, Springer;The Classification Society, vol. 10(2), pages 159-193, December.
    4. Iain L. MacDonald, 2014. "Numerical Maximisation of Likelihood: A Neglected Alternative to EM?," International Statistical Review, International Statistical Institute, vol. 82(2), pages 296-308, August.

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