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Artificial neural networks (ANNs) have been applied within the field of hydrological modelling for over a decade but relatively little attention has been paid to the use of these tools for flood estimation in ungauged catchments.
Neurobiology has led the way in computational modelling for over half a century.
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For those studies which were modelled for over a year, discount rates were similar, with most authors discounting both costs and effects by 3 to 5percentt annually.
Even a looser system relying on a white-list for under-18s plus the current Cleanfeed model for over-18s will require some kind of authenticated adult login – finally a use for Burnham's beloved ID cards, eh? Don't think that's far-fetched either – an authenticated login for all internet users was mooted in the European Parliament 10 years ago, and keeps popping back.
Thus we could determine their crystallographic structure, their nitrogen content and their optical properties by simulating the reflectance curves with Drude's model for stoichiometric and sub-stoichiometric samples, and an extended Drude model for over-stoichiometric samples.
Sáez-Castillo and Conde-Sánchez (2013) studied a HP regression model for over-dispersed and under-dispersed count data.
An overview of the evolution of probability models for over-dispersion is given looking at their origins, motivation, first main contributions, important milestones and applications.
The inclusion of dummies for the education-occupation mismatch in the home country along with covariates typically used in previous studies almost doubles the explanatory power of a probit model for over-education and almost quadruples that for under-education.
We tested each Poisson model for over-dispersion by comparing deviance with its degrees of freedom.
These methods were used for modelling the over current relays operating curves [62].
"He had all four of us children over there, modeling for the catalogs," Linda said.
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