Univariate and multivariate spatio-temporal areal models to study crimes against women
Fecha
2020Versión
Acceso abierto / Sarbide irekia
Tipo
Tesis doctoral / Doktoretza tesia
Identificador del proyecto
Impacto
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nodoi-noplumx
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Resumen
Spatio-temporal models for areal data have been extensively applied in epidemiology
and public health to study geographical and temporal patterns of incidence or
mortality of several diseases, mainly cancer. The utility of these models has become
crucial in public health, and methodological research has evolved in line with the
necessity of analyzing the increasingly more complex data registe ...
[++]
Spatio-temporal models for areal data have been extensively applied in epidemiology
and public health to study geographical and temporal patterns of incidence or
mortality of several diseases, mainly cancer. The utility of these models has become
crucial in public health, and methodological research has evolved in line with the
necessity of analyzing the increasingly more complex data registers. However, these
techniques have not been used to study crimes against women, a complex and
intricate problem where risk factors are not clearly identified. This dissertation is
aimed at improving and developing methodology to disentangle the phenomenon of
crimes against women in general and in India in particular. [--]
Materias
Crimes against women,
Indian women,
Multivariate spatio-temporal models,
P-spline models
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Programa de doctorado
Localización
Entidades Financiadoras
Spanish Ministry of Economy, Industry and Competitiveness (project MTM2017-82553-R AEI/FEDER grants), the Government of
Navarre (projects PI015-2016 and PI043-2017), and La Caixa Foundation (ID
1000010434), Caja Navarra Foundation and UNED Pamplona, under agreement
LCF/PR/PR15/51100007. Universidad Nacional de Cuyo (Argentina)