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 | 67 | 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 |