EM Algorithm for Mixture Distributions Model with Type-I Hybrid Censoring Scheme
An expectation–maximization (EM) likelihood estimation procedure is proposed to obtain the maximum likelihood estimates of the parameters in a mixture distributions model based on type-I hybrid censored samples when the mixture proportions are unknown. Three bootstrap methods are applied to construc...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2021-10-01
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| Серія: | Mathematics |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2227-7390/9/19/2483 |
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