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Nuno M. Brites
Nuno M. Brites
Instituto Superior de Economia e Gestão, Universidade de Lisboa
Email confirmado em iseg.ulisboa.pt - Página inicial
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Harvest control rules for data limited stocks using length-based reference points and survey biomass indices
E Jardim, M Azevedo, NM Brites
Fisheries research 171, 12-19, 2015
612015
Fisheries management in random environments: Comparison of harvesting policies for the logistic model
NM Brites, CA Braumann
Fisheries research 195, 238-246, 2017
412017
Modelling animal growth in random environments: an application using nonparametric estimation
PA Filipe, CA Braumann, NM Brites, CJ Roquete
Biometrical journal 52 (5), 653-666, 2010
242010
Harvesting in a random varying environment: optimal, stepwise and sustainable policies for the Gompertz model
NM Brites, CA Braumann
Statistics, Optimization & Information Computing 7 (3), 533-544, 2019
172019
Fisheries management in randomly varying environments: Comparison of constant, variable and penalized efforts policies for the Gompertz model
NM Brites, CA Braumann
Fisheries research 216, 196-203, 2019
172019
Stochastic differential equation harvesting models: sustainable policies and profit optimization
NMB Brites
PQDT-Global, 2017
142017
Prediction for individual growth in a random environment
PA Filipe, CA Braumann, NM Brites, CJ Roquete
Recent developments in modeling and applications in statistics, 193-201, 2013
142013
Stochastic differential equations harvesting policies: Allee effects, logistic‐like growth and profit optimization
NM Brites, CA Braumann
Applied stochastic models in business and industry 36 (5), 825-835, 2020
132020
Harvesting policies with stepwise effort and logistic growth in a random environment
NM Brites, CA Braumann
Current Trends in Dynamical Systems in Biology and Natural Sciences, 95-110, 2020
102020
An assessment of beaked redfish (S. mentella and S. fasciatus) in NAFO Division 3M (with a revised approach to quantify the increase on redfish natural mortality determined by …
A Ávila-de-Melo, R Petit, D González-Troncoso, R Alpoim, ...
Centro Oceanográfico de Vigo, 2013
82013
An ASPIC Based Assessment of Redfish (S. mentella and S. fasciatus) in NAFO Divisions 3LN (assuming that the highest apparently sustained historical average level of catch is a …
A Ávila-de-Melo, N Brites, R Alpoim, D González-Troncoso
Centro Oceanográfico de Vigo, 2014
62014
Profit optimization of stochastically fluctuating populations under harvesting: the effects of Allee effects
NM Brites, CA Braumann
Optimization 71 (11), 3277-3293, 2022
52022
Harvesting optimization with stochastic differential equations models: is the optimal enemy of the good?
NM Brites, CA Braumann
Stochastic Models, 2021
42021
Modelos estocásticos de crescimento individual e desenvolvimento de software de estimação e previsão
NM Brites
Universidade de Évora, 2010
42010
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies
NM Brites, CA Braumann
Computational Statistics, 1-13, 2022
32022
The status of redfish (S. mentella and S. fasciatus) in Divisions 3LN and two medium term scenarios (when recruitment is low, Risk Based Management Strategy or common sense?)
A Ávila-de-Melo, N Brites, R Alpoim, D González-Troncoso, ...
Centro Oceanográfico de Vigo, 2020
22020
A Revised Update of the 2014 ASPIC Assessment of Redfish (S. mentella and S. fasciatus) in Divisions 3LN (how the the stock is coping with the actual Management Strategy and …
A Ávila-de-Melo, N Brites, R Alpoim, D González-Troncoso, ...
Centro Oceanográfico de Vigo, 2016
22016
Optimal harvesting of stochastically fluctuating populations driven by a generalized logistic sde growth model
NM Brites
Mathematics 10 (17), 3098, 2022
12022
Comparison of optimal harvesting policies with general logistic growth and a general harvesting function
M Reis, NM Brites, C Santos, C Dias
Mathematical Methods in the Applied Sciences, 2024
2024
COMPARISON OF EXTINCTION TIMES FOR STOCHASTIC LOGISTIC TYPE MODELS
C Carlos, CA Braumann, NM Brites
CIMA Annual Meeting 2024, 11, 2024
2024
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