1 |
Wald, A. (1949). Note on the consistency of the maximum likelihood estimate, The Annals of Mathematical Statistics, 20, 595-601
DOI
|
2 |
Ahn, S. M. (2001). A penalized likelihood method for model complexity reduction in Gaussian Mixture density, The Korean Communications in Statistics, 8, 173-184
과학기술학회마을
|
3 |
Chen, J., Tan, X. and Zhang, R. (2008). Consistency of penalized MLE for normal mixtures in mean and variance, Statistica Sinica, 18, 443-465
|
4 |
Cheng, R. C. H. and Liu, W. B. (2001). The consistency of estimators in finite mixtures models, Scandi-navian Journal of Statistics, 28, 603-616
DOI
ScienceOn
|
5 |
Ciuperca. G., Ridolfi, A. and Idier, J. (2003). Penalized maximum likelihood estimator for normal mix-tures, Scandinavian Journal of Statistics, 30, 45-59
DOI
ScienceOn
|
6 |
Cramer, H. (1946). Mathematical Methods of Statistics, Princeton University Press, Princeton
|
7 |
Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B, 39, 1-38
|
8 |
Feng, Z. D. and McCulloch, C. E. (1996). Using bootstrap likelihood rations in finite mixture models, Joural of the Royal Statistical Society. Series B, 58, 609-617
|
9 |
Hathaway, R. J. (1985). A constrained formulation of maximum likelihood estimation for normal mixture distributions, The Annals of Statistics, 13, 795-800
DOI
ScienceOn
|
10 |
Redner, R. (1981). Note on the consistency of the maximum likelihood estimate for nonidentifiable distri-butions, The Annals of Statistics, 9, 225-228
DOI
ScienceOn
|