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handle: 2117/397825
In this paper we introduce an extension of the power Maxwell distribution. We also discuss a reparametrized version of this model applied to quantile regression. Some properties of the model and estimation based on the maximum likelihood estimation method are studied. We also present a simulation study to assess the performance of estimators in such finite samples, and two applications to real data sets to illustrate the model.
Peer Reviewed
Classificació AMS::62 Statistics::62J Linear inference, 62E Teoria de la distribució, quantile regression, 62J Inferència lineal, regressió, Classificació AMS::62 Statistics::62J Linear inference, regression, Mathematical statistics ; Regression analysis, Mathematical statistics, Maxwell distribution, Exponentiated distributions, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Classificació AMS::62 Statistics::62E Distribution theory, Quantile regression, Distribution (Probability theory), regression, exponentiated distributions, regressió, maximum likelihood, 62J Inferència lineal, Regression analysis, Maximum likelihood
Classificació AMS::62 Statistics::62J Linear inference, 62E Teoria de la distribució, quantile regression, 62J Inferència lineal, regressió, Classificació AMS::62 Statistics::62J Linear inference, regression, Mathematical statistics ; Regression analysis, Mathematical statistics, Maxwell distribution, Exponentiated distributions, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Classificació AMS::62 Statistics::62E Distribution theory, Quantile regression, Distribution (Probability theory), regression, exponentiated distributions, regressió, maximum likelihood, 62J Inferència lineal, Regression analysis, Maximum likelihood
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