Univariate and multivariate spatio-temporal areal models to study crimes against women

Autores: Gonzalo Vicente Fuenzalida
Directores de la Tesis: María Dolores Ugarte Martínez (dir. tes.) , Tomás Goicoa Mangado (dir. tes.)
Lectura: En la Universidad Pública de Navarra ( España ) en 2020
Idioma: inglés
Número de páginas: 128
Tribunal Calificador de la Tesis: Ana Fernández Militino (presid.) , Berta Ibáñez Beroiz (secret.) , Jesús López Fidalgo (voc.)
Enlaces
- Tesis en acceso abierto en: Academica-e
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 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.