Minimum Divergence Estimators, Maximum Likelihood and the Generalized Bootstrap
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DOI: 10.3390/e23020185
Abstract: 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. read more here.
Keywords: estimators maximum; likelihood generalized; maximum likelihood; divergence estimators ... See more keywords