Por favor, use este identificador para citar o enlazar este ítem:
http://repositorio.udec.cl/jspui/handle/11594/9474
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.advisor | Figueroa Zuñiga, Jorge Isaac; supervisor de grado | es |
dc.contributor.author | Toledo Balboa, Juan Guillermo | es |
dc.date.accessioned | 2022-01-14T18:15:57Z | - |
dc.date.available | 2022-01-14T18:15:57Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://repositorio.udec.cl/jspui/handle/11594/9474 | - |
dc.description | Tesis para optar al grado de Magíster en Estadística. | es |
dc.description.abstract | Models involving the Kumaraswamy distribution have been a very studied in the past years in the analysis and modeling of bounded continuos variables. In this paper we focus on one in particular: the Trapezoidal Kumaraswamy model. We present an estimation method for its parameters based on bayesian approaches: the Stochastic EM algorithm (SEM), which avoids the most common issues of the classical EM. Then, we apply this method to the daily covid-19 cases in Chile using this model. | es |
dc.language.iso | spa | es |
dc.publisher | Universidad de Concepción. | es |
dc.rights | Creative Commoms CC BY NC ND 4.0 internacional (Atribución-NoComercial-SinDerivadas 4.0 Internacional) | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | - |
dc.subject | Distribución de Kumaraswamy | - |
dc.subject | Algoritmos | - |
dc.subject | Teoría Bayesiana de Decisiones Estadísticas | - |
dc.title | Trapezoidal Kumaraswamy distribution and sem algorithm. | es |
dc.type | Tesis | es |
dc.description.facultad | Facultad de Ciencias Físicas y Matemáticas | es |
dc.description.departamento | Departamento de Estadística. | es |
Aparece en las colecciones: | Estadística - Tesis Magister |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Tesis Trapezoidal Kumaraswamy Distribution and SEM Algorithm.Image.Marked.pdf | 352,32 kB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons