Minimum Divergence Estimators, Maximum Likelihood and the Generalized Bootstrap
This paper states that most commonly used minimum divergence estimators are MLEs for suited generalized bootstrapped sampling schemes. Optimality in the sense of Bahadur for associated tests of fit under such sampling is considered.
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
MDPI AG
2021-01-01
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| Серии: | Entropy |
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| Online-ссылка: | https://www.mdpi.com/1099-4300/23/2/185 |