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Estimating the Components of a Mixture of Extremal Distributions under Strong Dependence

Estimating the Components of a Mixture of Extremal Distributions under Strong Dependence
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摘要 In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance. In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance.
作者 Carolina Crisci Gonzalo Perera Lia Sampognaro Carolina Crisci;Gonzalo Perera;Lia Sampognaro(Departamento Modelización Estadística de Datos e Inteligenica Artificial (MEDIA), CURE, Rocha, Universidad de la República, Rocha, Uruguay)
出处 《Advances in Pure Mathematics》 2023年第7期425-441,共17页 理论数学进展(英文)
关键词 Mixture of Extremal Distributions Strongly Dependent Data Mixture of Extremal Distributions Strongly Dependent Data
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