On the consistency of MLE in finite mixture models of exponential families

Author:

Atienza N.,García-Heras J.,Muñoz-Pichardo J.M.,Villa R.

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference34 articles.

1. Estimation of parameters of the inverse Gaussian–Weibull mixture model;Al-Hussaini;Comm. Statist. Theory Methods,1990

2. Atienza, N., 2005. Fitting the variable “Length of Hospital Stay” with mixtures from different distribution families (Available at http://www.personal.us.es/natienza/inves/docu/fitting.pdf).

3. Atienza, N., García-Heras, J., Muñoz-Pichardo, J.M., 2005a. A new condition for identifiability of finite mixture distributions, Metrika, to appear, doi:10.100.7/s00184-005-0013-z.

4. Atienza, N., García-Heras, J., Muñoz-Pichardo, J.M., Villa, R., 2005b. Technical Report: Some Integrability Results on Exponential Families (Available at http://www.personal.us.es/natienza/inves/docu/technical1.pdf).

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