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Inference for the Richards growth model using Box and Cox transformation and bootstrap techniques
(Elsevier Science BvAmsterdamHolanda, 2006)
Effective carrying capacity and analytical solution of a particular case of the Richards-like two-species population dynamics model
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
We consider a generalized two-species population dynamic model and analytically solve it for the amensalism and commensalism ecological interactions. These two-species models can be simplified to a one-species model with ...
LAW, CAUSE AND PARTICIPATION IN RICHARD HOOKERLEI, CAUSA E PARTICIPAÇÃO EM RICHARD HOOKER
(Instituto de Filosofía. Pontificia Universidad Católica de Chile, 2023)
Stable water isotope tracing through hydrological models for disentangling runoff generation processes at the hillslope scale
(2014)
Hillslopes are the dominant landscape components where incoming precipitation becomes groundwater, streamflow or atmospheric water vapor. However, directly observing flux partitioning in the soil is almost impossible. ...
Energy-based iteration scheme of the double-multiple streamtube model in vertical-axis wind turbines
(Springer, 2016)
Due to their simplicity, blade element momentum models, such as the double-multiple streamtube (DMS) model, are among the most common models to predict the performance of Darrieus vertical-axis wind turbines (VAWTs). A ...
A BVAR Forecasting Model for the Chilean Economy
(ILADES; Georgetown University; Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
Restrictions of economic theory in nonparametric methods / Rosa Matzkin; Nonparametric discrete choice models with unobserved heterogeneity / por Richard Briesch, Pradeep Chintagunta, Rosa Matzkin
(Universidad de San Andrés. Departamento de Economía, 1996)
Generalized growth curve model for COVID-19 in Brazilian statesModelo de curva de crescimento generalizado para COVID-19 nos estados brasileiros
(2020-01-01)
The present paper consists of using the Chapman-Richard generalized growth model to functionally relate the number of people infected by COVID-19 with the number of days. The objective of this work is to estimate the instant ...
Bayesian modeling of the coffee tree growth curveModelagem bayesiana da curva de crescimento do cafeeiro
(Universidade Federal de Santa Maria, 2022)
A model updating strategy for predicting time series with seasonal patterns
(ELSEVIER, 2010)
Traditional methodologies for time series prediction take the series to be predicted and split it into Q1
training, validation, and test sets. The first one serves to construct forecasting models, the second set for
model ...