Trapezoidal Kumaraswamy distribution and sem algorithm.
| dc.contributor.advisor | Figueroa Zuñiga, Jorge Isaac | es |
| dc.contributor.author | Toledo Balboa, Juan Guillermo | es |
| dc.date.accessioned | 2022-01-14T18:15:57Z | |
| dc.date.accessioned | 2024-05-15T19:11:04Z | |
| dc.date.accessioned | 2024-08-28T22:33:06Z | |
| dc.date.available | 2022-01-14T18:15:57Z | |
| dc.date.available | 2024-05-15T19:11:04Z | |
| dc.date.available | 2024-08-28T22:33:06Z | |
| dc.date.issued | 2021 | |
| 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.description.departamento | Departamento de Estadística. | es |
| dc.description.facultad | Facultad de Ciencias Físicas y Matemáticas | es |
| dc.identifier.uri | https://repositorio.udec.cl/handle/11594/9474 | |
| 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 |