Please use this identifier to cite or link to this item:
http://repositorio.udec.cl/jspui/handle/11594/9474| Title: | Trapezoidal Kumaraswamy distribution and sem algorithm. |
| Authors: | Figueroa Zuñiga, Jorge Isaac; supervisor de grado Toledo Balboa, Juan Guillermo |
| Keywords: | Distribución de Kumaraswamy;Algoritmos;Teoría Bayesiana de Decisiones Estadísticas |
| Issue Date: | 2021 |
| Publisher: | Universidad de Concepción. |
| 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. |
| Description: | Tesis para optar al grado de Magíster en Estadística. |
| URI: | http://repositorio.udec.cl/jspui/handle/11594/9474 |
| 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 |
This item is licensed under a Creative Commons License
