The Fréchet distribution: Estimation and application-An overview PL Ramos, F Louzada, E Ramos, S Dey
Journal of Statistics and Management Systems 23 (3), 549-578, 2020
68 2020 Bayesian analysis of the generalized gamma distribution using non-informative priors PL Ramos, JA Achcar, FA Moala, E Ramos, F Louzada
Statistics 51 (4), 824-843, 2017
31 2017 A note on bias of closed-form estimators for the gamma distribution derived from likelihood equations F Louzada, PL Ramos, E Ramos
The American Statistician 73 (2), 195-199, 2019
29 2019 Posterior properties of the nakagami-m distribution using noninformative priors and applications in reliability PL Ramos, F Louzada, E Ramos
IEEE Transactions on reliability 67 (1), 105-117, 2017
26 2017 Objective Bayesian analysis for the Lomax distribution PH Ferreira, E Ramos, PL Ramos, JFB Gonzales, VLD Tomazella, ...
Statistics & Probability Letters 159, 108677, 2020
18 2020 An Efficient, Closed-Form MAP Estimator for Nakagami- Fading Parameter PL Ramos, F Louzada, E Ramos
IEEE Communications Letters 20 (11), 2328-2331, 2016
17 2016 Posterior properties of the Weibull distribution for censored data E Ramos, PL Ramos, F Louzada
Statistics & Probability Letters 166, 108873, 2020
15 2020 Bayesian analysis of the inverse generalized gamma distribution using objective priors PL Ramos, AL Mota, PH Ferreira, E Ramos, VLD Tomazella, F Louzada
Journal of Statistical Computation and Simulation 91 (4), 786-816, 2021
14 2021 The Marshall–Olkin inverted Nadarajah–Haghighi distribution: estimation and applications G Raffiq, IS Dar, MAU Haq, E Ramos
Annals of Data Science, 1-16, 2020
10 2020 On posterior properties of the two parameter gamma family of distributions PL Ramos, DK Dey, F Louzada, E Ramos
Anais da Academia Brasileira de Ciências 93, e20190826, 2021
5 2021 Bias Reduction in the Closed-Form Maximum Likelihood Estimator for the Nakagami-m Fading Parameter PL Ramos, F Louzada, E Ramos
IEEE Wireless Communications Letters 9 (10), 1692-1695, 2020
5 2020 Power laws distributions in objective priors PL Ramos, FA Rodrigues, E Ramos, DK Dey, F Louzada
Statistica Sinica 33 (3), 1-53, 2023
4 2023 Metodo eficiente para calcular os estimadores de maxima verossimilhanca da distribuicao gama generalizada PL RAMOS, JA ACHCAR, E RAMOS
Rev. Bras. Biom 32 (2), 267-281, 2014
4 2014 Objective Bayesian analysis for the differential entropy of the Gamma distribution E Ramos, OA Egbon, PL Ramos, FA Rodrigues, F Louzada
Brazilian Journal of Probability and Statistics 38 (1), 53-73, 2024
3 * 2024 Rigorous enclosures of solutions of Neumann boundary value problems E Ramos, V Nolasco, M Gameiro
Applied Numerical Mathematics 180, 104-119, 2022
1 2022 Controle Ótimo Aplicado em um Modelo de Câncer E Ramos
Universidade Estadual Paulista (Unesp), 2015
1 2015 Asymptotic properties of generalized closed-form maximum likelihood estimators PL Ramos, E Ramos, FA Rodrigues, F Louzada
arXiv preprint arXiv:2102.07356, 2024
2024 Integration of large spatial databases C Aguiar, A Carvalho, JA Cuminato, F Louzada, J Chire, O Egbon, ...
Mathematics in Industry Reports, 1-9, 2022
2022 A rigorous inexact Newton method with applications to Boundary Value Problems E Ramos, VH Nolasco, M Gameiro
Proceeding Series of the Brazilian Society of Computational and Applied …, 2021
2021 On the feasibility and convergence of the inexact Newton method under minor conditions on the error terms E Ramos, M Gameiro, V Nolasco
arXiv preprint arXiv:2005.07838, 2020
2020