Robust Procedures for Estimating and Testing in the Framework of Divergence Measures

Leandro Pardo; Nirian Martín

doi:10.3390/e23040430

Robust Procedures for Estimating and Testing in the Framework of Divergence Measures

Entropy (Basel). 2021 Apr 6;23(4):430. doi: 10.3390/e23040430.

Authors

Leandro Pardo^{1

2}, Nirian Martín^{2

3}

Affiliations

¹ Department of Statistics and O. R., Faculty of Mathematics, Universidad Complutense de Madrid, 28040 Madrid, Spain.
² Interdisciplinary Mathematics Institute, Complutense University of Madrid, 28040 Madrid, Spain.
³ Department of Financial and Actuarial Economics & Statistics, Faculty of Commerce and Tourism, Complutense University of Madrid, 28003 Madrid, Spain.

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 [...].

Publication types

Editorial