Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Osvaldo Venegas"'
Publikováno v:
Mathematics, Vol 12, Iss 13, p 1982 (2024)
In this paper, we introduce a new parameterization for the scale mixture of the Rayleigh distribution, which uses a mean linear regression model indexed by mean and precision parameters to model asymmetric positive real data. To test the goodness of
Externí odkaz:
https://doaj.org/article/d8a1b31074e24a2c88401f1f57464be0
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1631 (2024)
The half-normal distribution is composited with the Pareto model to obtain a uni-parametric distribution with a heavy right tail, called the composite half-normal-Pareto distribution. This new distribution is useful for modeling positive data with at
Externí odkaz:
https://doaj.org/article/d8fe9196a5544642a9fa24ca8febb056
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1397 (2024)
In this paper, the scale mixture of the Gleser (SMG) distribution is introduced. This new distribution is the product of a scale mixture between the Gleser (G) distribution and the Beta(a,1) distribution. The SMG distribution is an alternative to dis
Externí odkaz:
https://doaj.org/article/805332cfabce4c35bb1dce8acd279e0f
Publikováno v:
Revstat Statistical Journal, Vol 21, Iss 4 (2023)
In this paper we study some methods to reduce the bias for maximum likelihood estimation in the general class of alpha power models, specifically for the shape parameter. We find the modified maximum likelihood estimator using Firth's method and we s
Externí odkaz:
https://doaj.org/article/182c592c92304dc4a0d243ddf2c5e47b
Publikováno v:
Mathematics, Vol 12, Iss 1, p 156 (2024)
This article presents an extended distribution that builds upon the exponential distribution. This extension is based on a scale mixture between the exponential and beta distributions. By utilizing this approach, we obtain a distribution that offers
Externí odkaz:
https://doaj.org/article/b556d8720a114a18998f80a7a20fbd53
Publikováno v:
Mathematics, Vol 12, Iss 1, p 136 (2023)
In this article, we introduce a new continuous distribution based on the unit interval. This distribution is generated from a transformation of a random variable with half-normal distribution. We study its basic properties, percentiles, moments and o
Externí odkaz:
https://doaj.org/article/293e97a1cf2444b9978c914c346d8b71
Publikováno v:
Mathematics, Vol 11, Iss 22, p 4626 (2023)
In this paper, we extend the Lomax–Rayleigh distribution to increase its kurtosis. The construction of this distribution is based on the idea of the Slash distribution, that is, its representation is based on the quotient of two independent random
Externí odkaz:
https://doaj.org/article/7cabc15970744c5b9309581f3595552a
Autor:
Héctor J. Gómez, Karol I. Santoro, Inmaculada Barranco-Chamorro, Osvaldo Venegas, Diego I. Gallardo, Héctor W. Gómez
Publikováno v:
Mathematics, Vol 11, Iss 21, p 4431 (2023)
In this paper, a new family of continuous distributions with positive support is introduced. This family is generated by a truncation of the family of univariate symmetrical distributions. In this new family of distributions, general properties, such
Externí odkaz:
https://doaj.org/article/ebf396cd20c049b688fae677905a0e1a
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3980 (2023)
The slash-weighted Lindley model is introduced due to the need to obtain a model with more kurtosis than the weighted Lindley distribution. Several expressions for the pdf of this model are given. Its cumulative distribution function is expressed in
Externí odkaz:
https://doaj.org/article/9166d46e3d26466b8362f631c94056c3
Autor:
Jaime Arrué, Reinaldo B. Arellano-Valle, Enrique Calderín-Ojeda, Osvaldo Venegas, Héctor W. Gómez
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3287 (2023)
In this paper, likelihood-based inference and bias correction based on Firth’s approach are developed in the modified skew-t-normal (MStN) distribution. The latter model exhibits a greater flexibility than the modified skew-normal (MSN) distributio
Externí odkaz:
https://doaj.org/article/133cf444a7a3408984b6867fe4bb4661