Penalized maximum likelihood estimation for skew normal mixtures
نویسندگان
چکیده
منابع مشابه
Penalized Maximum Likelihood Estimator for Skew Normal Mixtures
Skew normal mixture models provide a more flexible framework than the popular normal mixtures for modelling heterogeneous data with asymmetric behaviors. Due to the unboundedness of likelihood function and the divergency of shape parameters, the maximum likelihood estimators of the parameters of interest are often not well defined, leading to dissatisfactory inferential process. We put forward ...
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ژورنال
عنوان ژورنال: SCIENTIA SINICA Mathematica
سال: 2019
ISSN: 1674-7216
DOI: 10.1360/scm-2018-0256