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Maria de Fátima Brilhante (M.F. Brilhante)
Maria de Fátima Brilhante (M.F. Brilhante)
Universidade dos Açores (Faculdade de Ciências e Tecnologia) and CEAUL
E-mail confirmado em uac.pt
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A simple generalisation of the Hill estimator
MF Brilhante, MI Gomes, D Pestana
Computational Statistics & Data Analysis 57 (1), 518-535, 2013
1612013
New reduced-bias estimators of a positive extreme value index
MI Gomes, MF Brilhante, D Pestana
Communications in Statistics - Simulation and Computation 45 (3), 833-862, 2016
542016
A new partially reduced-bias mean-of-order p class of extreme value index estimators
MI Gomes, MF Brilhante, F Caeiro, D Pestana
Computational Statistics & Data Analysis 82, 223-237, 2015
352015
A Mean-of-Order-𝑝 Class of Value-at-Risk Estimators
MI Gomes, MF Brilhante, D Pestana
Theory and Practice of Risk Assessment, 305-320, 2015
34*2015
The MOP EVI-Estimator Revisited
MF Brilhante, MI Gomes, D Pestana
New Advances in Statistical Modeling and Applications, 163-175, 2014
322014
BetaBoop Brings in Chaos
MF Brilhante, MI Gomes, D Pestana
CMSim-Chaotic Modeling and Simulation Journal 1, 39-50, 2011
292011
Extensions of Verhulst Model in Population Dynamics and Extremes
MF Brilhante, MI Gomes, D Pestana
CMSim-Chaotic Modeling and Simulation Journal 4, 575-591, 2012
232012
Exponentiality versus generalized Pareto—a resistant and robust test
MF Brilhante
REVSTAT–Statistical Journal 2 (1), 2-13, 2004
232004
Using products and powers of products to test uniformity
MF Brilhante, S Mendonça, D Pestana, F Sequeira
Proceedings of the ITI 2010, 32nd International Conference on Information …, 2010
192010
Combining p-values and random p-values
MF Brilhante, D Pestana, F Sequeira
Proceedings of the ITI 2010, 32nd International Conference on Information …, 2010
172010
Modeling risk of extreme events in generalized Verhulst models
MF Brilhante, MI Gomes, D Pestana
REVSTAT - Statistical Journal 17 (2), 145-162, 2019
162019
Extensions of the Verhulst Model, Order Statistics and Products of Independent Uniform Random Variables
MF Brilhante, MI Gomes, D Pestana
CMSim-Chaotic Modeling and Simulation Journal 4, 315-322, 2014
8*2014
COVID-19 impact on the tourism accommodation and restaurant sectors of São Miguel (Azores)
M de Fátima Brilhante, ML Rocha
Sustainability 15 (1), 343, 2022
62022
Generalized p Values and Random p Values when the Alternative to Uniformity is a Mixture of a Beta(1,2) and Uniform
MF Brilhante
Recent Developments in Modeling and Applications in Statistics, 159-167, 2013
62013
Erros Não Amostrais - Uma Floresta de Enganos
S Aleixo, MF Brilhante, MF Diamantino, S Mendonça, D Pestana
ESTATÍSTICO JÚNIOR 2011, 53, 2011
52011
Non-response and sample size
S Aleixo, MF Brilhante, F Diamantino, S Mendonça, D Pestana
Bulletin of the International Statistical Institute 62, 4804-4807, 2007
52007
Generalized Beta Models and Population Growth: So Many Routes to Chaos
MF Brilhante, MI Gomes, S Mendonça, D Pestana, P Pestana
Fractal and Fractional 7 (2), 194, 2023
42023
Uniformity
MF Brilhante, M Malva, S Mendonça, D Pestana, F Sequeira, S Velosa
Advances in Regression, Survival nalysis, Extreme Values, Markov Processes …, 2013
42013
Panjer Randomized Fibonacci Model and Dynamic Instabilities in Population Growth Models
MF Brilhante, MI Gomes, D Pestana
CMSim-Chaotic Modeling and Simulation Journal 4, 495-509, 2013
42013
Inferência estatística em modelos não gaussianos com recurso a spacings e outras funções de estatísticas ordinais
MFA Brilhante
University of the Azores, 1999
41999
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Artigos 1–20