Nonparametric circular methods for density and regression

The goal of this dissertation is to introduce nonparametric methods for density and regression estimation for circular data, analyzing their performance through simulation studies and illustrating their use by real data applications. In addition, the proposed methods are implemented in the R library...

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Detalles Bibliográficos
Autor: Oliveira Pérez, María
Tipo de recurso: tesis doctoral
Fecha de publicación:2014
País:España
Institución:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/9805
Acceso en línea:http://hdl.handle.net/10347/9805
Access Level:acceso abierto
Palabra clave:Materias::Investigación::12 Matemáticas::1209 Estadística::120905 Análisis y diseño de experimentos
Descripción
Sumario:The goal of this dissertation is to introduce nonparametric methods for density and regression estimation for circular data, analyzing their performance through simulation studies and illustrating their use by real data applications. In addition, the proposed methods are implemented in the R library NPCirc.