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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… Click to show full 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.
Keywords:
estimators maximum;
likelihood generalized;
maximum likelihood;
divergence estimators;
minimum divergence
Journal Title: Entropy
Year Published: 2021
Link to full text (if available)
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Journal Title: Entropy
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!