Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Héctor J. Gómez"'
Autor:
Héctor J. Gómez, Karol I. Santoro, Diego Ayma, Isaac E. Cortés, Diego I. Gallardo, Tiago M. Magalhães
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1762 (2024)
In this article, we introduce a new model with positive support. This model is an extension of the truncated Gumbel distribution, where a shape parameter is incorporated that provides greater flexibility to the new model. The model is parameterized i
Externí odkaz:
https://doaj.org/article/8b2df667f9b245f881e6007dcab154a4
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:
Axioms, Vol 12, Iss 4, p 383 (2023)
This paper introduces the inverse-power Muth power series model, which is a composition of the inverse-power Muth and the class of power series distributions. The use of the Bell distribution in this context is emphasized for the first time in the li
Externí odkaz:
https://doaj.org/article/7b94b021e7cb4222a03d3474b2d420a4
Autor:
Diego I. Gallardo, Yolanda M. Gómez, Héctor J. Gómez, María José Gallardo-Nelson, Marcelo Bourguignon
Publikováno v:
Mathematics, Vol 11, Iss 3, p 518 (2023)
This paper proposes, for the first time, the use of an asymmetric positive and heavy-tailed distribution in a cure rate model context. In particular, it introduces a cure-rate survival model by assuming that the time-to-event of interest follows a sl
Externí odkaz:
https://doaj.org/article/742fc7de393742ff8992df5f3a1f0b24
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4643 (2022)
In this article a new flexible survival cure rate model is introduced by assuming that the number of competing causes of the event of interest follows the Flory–Schulz distribution and the competing causes follow the generalized truncated Nadarajah
Externí odkaz:
https://doaj.org/article/1d3bafe7c8364804a76f4d55369fb629
Autor:
Karol I. Santoro, Héctor J. Gómez, Diego I. Gallardo, Inmaculada Barranco-Chamorro, Héctor W. Gómez
Publikováno v:
Mathematics, Vol 10, Iss 20, p 3740 (2022)
A new class of densities for modelling non-negative data, which is based on the skew-symmetric family of distributions proposed by Azzalini is introduced.We focus on the model generated by the skew-normal distribution, called Extended Half Skew-Norma
Externí odkaz:
https://doaj.org/article/7b958ba1ea2343558122ceb8c50d85a1
Publikováno v:
Mathematics, Vol 10, Iss 6, p 942 (2022)
In this paper, the Extended Half-Power Exponential (EHPE) distribution is built on the basis of the Power Exponential model. The properties of the EHPE model are discussed: the cumulative distribution function, the hazard function, moments, and the s
Externí odkaz:
https://doaj.org/article/854e9d873c904594bbe4fe569b7e6716
Autor:
Héctor J. Gómez, Wilson E. Caimanque, Yolanda M. Gómez, Tiago M. Magalhães, Miguel Concha, Diego I. Gallardo
Publikováno v:
Symmetry, Vol 14, Iss 4, p 665 (2022)
In this work, we propose a new bimodal distribution with support in the real line. We obtain some properties of the model, such as moments, quantiles, and mode, among others. The computational implementation of the model is presented in the tpn packa
Externí odkaz:
https://doaj.org/article/496a3376ad5043b6a42eeeb099c5eb7a
Publikováno v:
Mathematics, Vol 10, Iss 3, p 528 (2022)
Pareto-type distributions are well-known distributions used to fit heavy-tailed data. However, the standard parameterizations used for Pareto-type distributions are poorly suited to modeling. On this note, we suggest new parameterizations that are be
Externí odkaz:
https://doaj.org/article/1abc24ccfc2649a381ae2b7e7963f4ae
Publikováno v:
Symmetry, Vol 13, Iss 11, p 2164 (2021)
In this paper, we present an extension of the truncated positive normal (TPN) distribution to model positive data with a high kurtosis. The new model is defined as the quotient between two random variables: the TPN distribution (numerator) and the po
Externí odkaz:
https://doaj.org/article/0f1d1fcf9c404f96a9cd3dbfc4274750