Publication: Univariate and multivariate spatio-temporal areal models to study crimes against women
dc.contributor.advisor | Ugarte Martínez, María Dolores | |
dc.contributor.advisor | Goicoa Mangado, Tomás | |
dc.contributor.author | Vicente Fuenzalida, Gonzalo | |
dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
dc.contributor.funder | Gobierno de Navarra / Nafarroako Gobernua | es |
dc.coverage.spatial | east=78.96288; north=20.593684; name=India | |
dc.date.accessioned | 2020-12-09T10:35:25Z | |
dc.date.available | 2022-07-03T23:00:16Z | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020 | |
dc.description.abstract | 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. | en |
dc.description.doctorateProgram | Programa de Doctorado en Matemáticas y Estadística (RD 99/2011) | es_ES |
dc.description.doctorateProgram | Matematikako eta Estatistikako Doktoretza Programa (ED 99/2011) | eu |
dc.description.sponsorship | 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) | en |
dc.embargo.lift | 2022-07-03 | |
dc.embargo.terms | 2022-07-03 | |
dc.format.extent | 128 p. | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/38849 | |
dc.language.iso | eng | en |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-82553-R/ES/ | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.subject | Crimes against women | en |
dc.subject | Indian women | en |
dc.subject | Multivariate spatio-temporal models | en |
dc.subject | P-spline models | en |
dc.title | Univariate and multivariate spatio-temporal areal models to study crimes against women | en |
dc.title.alternative | Modelos de área espacio-temporales univariantes y multivariantes para estudiar crímenes contra las mujeres | es_ES |
dc.type | info:eu-repo/semantics/doctoralThesis | |
dspace.entity.type | Publication |