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Given a sequence of observations to be modeled by a VAR model, it is possible to estimate its parameters in closed form by solving a least squares problem.
With such a model, it is possible to estimate the changes in flood quantiles from the changes in the annual maximum soil saturation level.
With the help of this model it is possible to estimate the contact load supported by asperities from AE measurement, which is a critical parameter to evaluate lubrication conditions in engineering applications.
Through the mathematical model it is possible to estimate the CO2 conversion and DME yield as well as the main features of the plant, by varying some important process parameters (e.g. feedstock composition, reactor pressure, H2/COx).
Using this model, it is possible to estimate the effects of process parameters on the final microstructure and, notably, it is shown that the initial dislocation density has a pronounced influence on the maximum precipitate density.
The quality score associated with those zip codes, of around 4.5%, can be interpreted as 4.5 out of every 1,000 businesses created between 2007 and 2011 can be expected to list or be bought within their first six years.By ignoring geographical variables in the model it is possible to estimate the benefit that startups get from being based in any one location.
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From the obtained model, it was possible to estimate the distribution of pore connectivities of each system.
Analogous to factor models, it is possible to estimate factor loadings that differ across items.
From the model and measurements, it is possible to estimate the tissue concentrations of Aβ.
By modelling the underlying rate parametrically, it is possible to estimate fitted curves from the model, such as the cumulative survival function.
Markov Chain Monte Carlo sampling is used to estimate the posterior distributions of model parameters and it is shown that it is possible to estimate a tight distribution on the principal axis of diffusion at each voxel using DW-SSFP.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com