Robust Procedures for Estimating and Testing in the Framework of Divergence Measures
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2021
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MDPI
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Abstract
The approach for estimating and testing based on divergence measures has become, in the last 30 years, a very popular technique not only in the field of statistics, but also in other areas, such as machine learning, pattern recognition, etc [...]
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This article belongs to the Special Issue Robust Procedures for Estimating and Testing in the Framework of Divergence Measures