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A coding scheme based on distributed linear-dispersion space-time codes is considered in [11].
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In time series analysis, a popular approach is based on distributed lag models (DLMs) [ 7, 8], generalized to distributed lag non-linear models (DLNMs) when including non-linear exposure-response associations [ 9, 10].
surface waves based on distributed surface sources assumption.
These benchmarks are based on distributed computing and storage.
However, they are micro-EIs based on distributed energy.
Note that the quantities plotted in QQ plots based on the linear over-dispersion assumption are used in the estimation of the over-dispersion parameter in the R function and therefore by definition were not useful for assessing model fit.
Based on its linear electronic dispersion and the electrons transferred along the surface, graphene can be used as an efficient intermediary material for injected electrons.
This model is based on the distributed parameters theory.
Implementation with transformations is equal to that for phenotypes normally distributed (based on the linear model).
A flatness-based state feedback control is derived based on a linear distributed-parameter model of the pneumatic system.
The neural generators for a given mean EP map were estimated by using a distributed linear inverse solution, based on a local auto-regressive average (LAURA) model [41].
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