Robust Procedures for Estimating and Testing in the Framework of Divergence Measures
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 [...]
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/105579 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/105579 |
| Access Level: | acceso abierto |
| Palabra clave: | Estadística matemática (Matemáticas) 1209 Estadística |
| Sumario: | 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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