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http://repositorio.udec.cl/jspui/handle/11594/9474Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Figueroa Zuñiga, Jorge Isaac, supervisor de grado | - |
| dc.contributor.author | Toledo Balboa, Juan Guillermo | - |
| 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 | es | es |
| dc.publisher | Universidad de Concepción, Facultad de Ciencias Físicas y Matemáticas, Departamento de Estadística. | es |
| dc.rights | Atribucion-Nocomercial-SinDerivadas 3.0 Chile | - |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | - |
| 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 |
| Appears in Collections: | Estadística - Tesis Magister | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Tesis Trapezoidal Kumaraswamy Distribution and SEM Algorithm.Image.Marked.pdf | 352,32 kB | Adobe PDF |  View/Open |
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