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As a result, the concurrent wind measurement slopes were all close to one based on linear regression analysis.
Data modeling was based on linear regression on the assumption that characteristics are linearly linked.
The model-based approaches are designed to calculate interactions based on linear regression [ 29].
We did not observe evidence of departure from linearity or threshold for effect, so we retained the simpler models based on linear regression.
Statistical equivalence tests based on linear regression techniques are advocated.
The proposed prediction models are based on linear regression, multivariate analysis, and back-propagation networks.
Such an approach is based on linear regression framework with implicit Gaussian assumption of model noise residuals having constant variance.
An alternative equation, based on linear regression analysis, is also suggested which provides a better fit for the B2 statistics.
It is another alternative to the standard fitting procedures which mainly based on linear regression and least square fitting.
An alternative procedure based on linear regression is introduced and the improvements achieved by this method are illustrated using simulation examples.
In this paper univariate models for short-term load forecasting based on linear regression and patterns of daily cycles of load time series are proposed.
More suggestions(15)
based on linear kernel
based on stepwise regression
based on linear copositive
based on linear minimum
based on linear theory
based on linear logic
based on linear equalization
based on linear drift
based on linear programming
based on linear workflow
based on linear stability
based on linear filtering
based on linear control
based on linear matrix
based on age regression
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