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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911913/ https://www.ncbi.nlm.nih.gov/pubmed/33572695 http://dx.doi.org/10.3390/e23020185 |