Artículo
The Markovian arrival process: A statistical model for daily precipitation amounts
Autor/es | Ramírez Cobo, Josefa
Marzo Artigas, Xavier Olivares Nadal, Alba Victoria Alvarez Francoso, José Carrizosa Priego, Emilio José ![]() ![]() ![]() ![]() ![]() ![]() ![]() Pita López, María Fernanda |
Departamento | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa |
Fecha de publicación | 2013-12-21 |
Fecha de depósito | 2021-04-26 |
Publicado en |
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Resumen | The Markovian arrival process (MAP) is a stochastic process that allows for modeling dependent and non-exponentially distributed observations. Due to its versatility, it has been widely applied in different contexts, from ... The Markovian arrival process (MAP) is a stochastic process that allows for modeling dependent and non-exponentially distributed observations. Due to its versatility, it has been widely applied in different contexts, from reliability to teletraffic. In this work we show the suitability of the MAP for modeling daily precipitation data, which are often characterized by a non-negligible correlation structure. Specifically, a set of daily precipitation amounts series from the region of Andalusia (Spain) is shown to be correctly fitted with a two-state MAP. |
Cita | Ramírez Cobo, J., Marzo Artigas, X., Olivares Nadal, A.V., Alvarez Francoso, J., Carrizosa Priego, E.J. y Pita López, M.F. (2013). The Markovian arrival process: A statistical model for daily precipitation amounts. Journal of Hydrology, 510, 459-471. |
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