Parameter Estimation in Gamma Mixture Model using Normal-based Approximation
Gamma mixture models have wide applications in hydrology, finance and reliability. Parameter estimation in this class of models is a challenging task owing to the complexity associated with the model structure. In this paper, a novel approach is proposed to estimate the parameters of Gamma mixture m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2016-02-01
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| Series: | Journal of Statistical Theory and Applications (JSTA) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25850498.pdf |