Addressing the algebraic structure of a linear mixed model with balanced design towards model extension
C. Santos, C. Dias and N. M. Brites
Mathematical Methods in the Applied Sciences, to appear (2023).
Harvesting optimization with stochastic differential equations models: is the optimal enemy of the good?
N. M. Brites and C. A. Braumann
Stochastic Models 39, 41-59 (2023).
Modelling French and Portuguese Mortality Rates with Stochastic Differential Equation Models: A Comparative Study
D. Baptista and N. M. Brites
Mathematics 11, (2023).
Stochastic differential equations death rates models: the Portuguese case
D. s. Baptista, N. M. Brites and A. D. Egídio dos Reis
Decisions in Economics and Finance, (2023).
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies
N. M. Brites and C. A. Braumann
Computational Statistics, (2022).
Optimal Harvesting of Stochastically Fluctuating Populations Driven by a Generalized Logistic SDE Growth Model
N. M. Brites
Mathematics 10, 1-15 (2022).
Profit optimization of stochastically fluctuating populations: the effects of Allee effects
N. M. Brites and C. A. Braumann
Optimization, (2022).
Stochastic differential equations harvesting policies: Allee effects, logistic-like growth and profit optimization
N. M. Brites and C. A. Braumann
Applied Stochastic Models in Business and Industry 36, 825-835 (2020).
Harvesting Policies with Stepwise Effort and Logistic Growth in a Random Environment
N. M. Brites and C. A. Braumann
Current Trends in Dynamical Systems in Biology and Natural Sciences, Springer 21, 95-110 (2020).
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?).
preprint (2020).
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