Permutation tests for nonparametric detection

González García, José Enrique ORCID: https://orcid.org/0000-0001-8816-3741, Sanz González, José Luis ORCID: https://orcid.org/0000-0001-8046-6596 and Álvarez Vaquero, Francisco (2012). Permutation tests for nonparametric detection. "Signal Processing", v. 92 (n. 11); pp. 2633-2642. ISSN 0165-1684. https://doi.org/10.1016/j.sigpro.2012.04.009.

Descripción

Título: Permutation tests for nonparametric detection
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Signal Processing
Fecha: Noviembre 2012
ISSN: 0165-1684
Volumen: 92
Número: 11
Materias:
ODS:
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Ingeniería Audiovisual y Comunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper, the authors provide a methodology to design nonparametric permutation tests and, in particular, nonparametric rank tests for applications in detection. In the first part of the paper, the authors develop the optimization theory of both permutation and rank tests in the Neyman?Pearson sense; in the second part of the paper, they carry out a comparative performance analysis of the permutation and rank tests (detectors) against the parametric ones in radar applications.

First, a brief review of some contributions on nonparametric tests is realized. Then, the optimum permutation and rank tests are derived. Finally, a performance analysis is realized by Monte-Carlo simulations for the corresponding detectors, and the results are shown in curves of detection probability versus signal-to-noise ratio

Más información

ID de Registro: 16828
Identificador DC: https://oa.upm.es/16828/
Identificador OAI: oai:oa.upm.es:16828
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/583858
Identificador DOI: 10.1016/j.sigpro.2012.04.009
URL Oficial: http://www.sciencedirect.com/science/article/pii/S...
Depositado por: Memoria Investigacion
Depositado el: 18 Nov 2013 20:19
Ultima Modificación: 12 Nov 2025 00:00