Using the Method of Moments for estimating parameters of Generalized Lambda Distribution and its implementation in Matlab
Many of the problems in different areas of knowledge can be solved through the construction of statistical models. Such models are commonly supported on probability distributions and exactly how the data are taken as the basis for its construction are distributed. Interest distributions adjusting dat...
| Autor Principal: | Castillo, Camilo Andre |
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| Otros Autores: | Másmela, Luis Alejandro, Villarraga, Luis Fernando |
| Formato: | info:eu-repo/semantics/article |
| Idioma: | spa |
| Publicado: |
Universidad Santo Tomás
2015
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| Acceso en línea: |
http://revistas.usta.edu.co/index.php/estadistica/article/view/2042 |
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| Sumario: |
Many of the problems in different areas of knowledge can be solved through the construction of statistical models. Such models are commonly supported on probability distributions and exactly how the data are taken as the basis for its construction are distributed. Interest distributions adjusting data sets intended to describe their behavior by distributing found. The paper presents a family of these distributions, the Lambda widespread distribution (DLG) and a MatLab program implementing the method of moments to estimate the distribution parameters to fit data sets or approaching some popular distributions. |
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