Trapezoidal Kumaraswamy distribution and sem algorithm.
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Date
2021
Authors
Journal Title
Journal ISSN
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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.
Keywords
Distribución de Kumaraswamy, Algoritmos, Teoría Bayesiana de Decisiones Estadísticas