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Using a dynamic forest model to predict tree species distributions
(WILEY-BLACKWELL, 2016)
Aim It has been suggested that predicting species distributions requires a processbased
and preferably dynamic approach. If dynamic models are to contribute
towards understanding species distributions, uncertainties ...
On the accuracy of two-fluid model predictions for a particular gas-solid riser flow
(ELSEVIER SCIENCE INC, 2010)
Literature presents a huge number of different simulations of gas-solid flows in risers applying two-fluid modeling. In spite of that, the related quantitative accuracy issue remains mostly untouched. This state of affairs ...
Estimation of soil penetration resistance with standardized moisture using modeling by artificial neural networks
(2020-06-01)
One of the most used evaluations to monitor soil compaction is based on soil penetration resistance (SPR). However, since SPR is influenced by soil moisture, this evaluation performed in the field may often lead to incorrect ...
Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2010-09-13)
We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We ...
Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2010-03-29)
We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We ...
Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2005-04-01)
Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic ...
Dispersal and extrapolation on the accuracy of temporal predictions from distribution models for the Darwin's frog
(Wiley, 2017)
Climate change is a major threat to biodiversity; the development of models that reliably predict its effects on species distributions is a priority for conservation biogeography. Two of the main issues for accurate temporal ...
Accuracy improvements in the orientation of ALOS PRISM images using IOP estimation and UCL Kepler platform model
(2017-07-01)
This paper presents a study that was conducted to determine the orientation of ALOS (Advanced Land Observing Satellite) PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) triplet images, considering the ...