Elliptical multivariate semiparametric linear regression model with equicorrelated random errors: some theoretical aspects of the estimation process and diagnostic analysis

dc.contributor.advisor	Supervisor: Ibacache Pulgar, Germán
dc.contributor.author	Rivas Gómez, Margarita
dc.coverage.spatial	Valparaíso
dc.date.accessioned	2024-08-07T17:27:38Z
dc.date.available	2024-08-07T17:27:38Z
dc.date.issued	2019
dc.description.abstract	In this thesis, we will study elliptical multivariate semiparametric linear regression model with equicorrelated random errors, specifically, some theoretical aspects of the estimation process and diagnostic analysis. An estimation method based in penalized likelihood function is developed. In addition, the local influence curvature was developed to assess the sensitivity of the estimators to the observations that are influential.
dc.facultad	Facultad de Ciencias
dc.identifier.uri	https://repositoriobibliotecas.uv.cl/handle/uvscl/14213
dc.language.iso	en
dc.publisher	Universidad de Valparaíso
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/cl/
dc.subject	FUNCIONES ELIPTICAS
dc.subject	REGRESION LOGISTICA
dc.title	Elliptical multivariate semiparametric linear regression model with equicorrelated random errors: some theoretical aspects of the estimation process and diagnostic analysis
dc.type	Thesis
uv.catalogador	PJR CIEN
uv.codigo.barra	00421956
uv.colection	Tesis
uv.departamento	Facultad de Ciencias. Instituto de Estadística
uv.notageneral	Magíster en Estadística. Universidad de Valparaíso. 2019.

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