Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Tiago M. Magalhães"'
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, 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:
Symmetry, Vol 13, Iss 12, p 2279 (2021)
In this paper, we introduce an extension of the sinh Cauchy distribution including a double regression model for both the quantile and scale parameters. This model can assume different shapes: unimodal or bimodal, symmetric or asymmetric. We discuss
Externí odkaz:
https://doaj.org/article/16ecb421839e4162acf1bef16207909e
Publikováno v:
Symmetry, Vol 12, Iss 5, p 851 (2020)
The Marshall-Olkin extended family of distributions is an alternative for modeling lifetimes, and considers more or less asymmetry than its parent model, achieved by incorporating just one extra parameter. We investigate the bias of maximum likelihoo
Externí odkaz:
https://doaj.org/article/a3716a73723d468db92ac608ef2eedfd
Publikováno v:
Symmetry, Vol 11, Iss 11, p 1351 (2019)
In this paper, we obtain a matrix formula of order n − 1 / 2 , where n is the sample size, for the skewness coefficient of the distribution of the maximum likelihood estimators in the Weibull censored data. The present result is a nice approach to
Externí odkaz:
https://doaj.org/article/5988f62c31404c3fa6f1c8c0f6e6d827
Publikováno v:
Pharmaceutical Statistics.
The Multiple Comparison Procedures with Modeling Techniques (MCP-Mod) framework has been recently approved by the U.S. Food and Administration and European Medicines Agency as fit-per-purpose for phase II studies. Nonetheless, this approach relies on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0366f6c8399fc3cfd9dc330248b4bfb7
https://doi.org/10.1002/pst.2303
https://doi.org/10.1002/pst.2303
Publikováno v:
European Journal of Operational Research. 296:323-331
Credit scoring models are usually developed using logistic regression. For several reasons, professionals of this area frequently categorize the quantitative covariates before using them in the model. In this work, we introduce a class of methods for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::503ccf3b0cf081134c34dfb7ac970133
https://doi.org/10.1016/j.ejor.2021.04.029
https://doi.org/10.1016/j.ejor.2021.04.029
In this paper, we obtain the Bartlett-type correction factor for the gradient test statistic in heteroskedastic generalized linear models (HGLMs). We present an extensive Monte Carlo study to evaluate the performance of the corrected gradient test in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0a817c0171c7ba817e8019b1cf384c7
Autor:
Tiago M. Magalhães, Márcio A. Diniz
Publikováno v:
Principles and Practice of Clinical Trials ISBN: 9783319526775
Principles and Practice of Clinical Trials
Principles and Practice of Clinical Trials
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::580a00a401d9e9d392818e605dec06c3
https://doi.org/10.1007/978-3-319-52636-2_122
https://doi.org/10.1007/978-3-319-52636-2_122
Publikováno v:
Symmetry; Volume 13; Issue 12; Pages: 2279
Symmetry, Vol 13, Iss 2279, p 2279 (2021)
Symmetry, Vol 13, Iss 2279, p 2279 (2021)
In this paper, we introduce an extension of the sinh Cauchy distribution including a double regression model for both the quantile and scale parameters. This model can assume different shapes: unimodal or bimodal, symmetric or asymmetric. We discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cecfdab4ec97ce5e60ac481aa979d71d