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As such, a statistical analysis employing a multiple linear modelling procedure is considered beneficial.
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Empirical models were formulated based on multiple linear models.
To model nonlinear hybrid systems, Nandola and Bhartiya [3] proposed a multiple linear model approach wherein multiple linear models are used to describe the dynamic behavior in each mode of the hybrid system.
Mini-max optimisation algorithms are used for the design of robust controllers based on the multiple linear models.
A multiple linear model is considered, where the magnitudes calculated from the sum of all axes acceleration vibration and average speed are set as explanatory variables.
A multiple linear model was used to test for difference between genotype groups assuming an additive model in quantitative trait studies.
Thus, 88 categories of the ICF Core Set for neurological conditions were retained for the multiple linear models.
The General Linear Model (GML) and Multiple Linear Model (MLM) implemented in TASSEL software [ 63, 80] were applied.
Subgroup analysis using the multiple linear model was performed using type of dietary iron (heme versus non-heme).
As SAHLPA-18 does not provide useful measures in illiterates, those individuals were not included in multiple linear models.
The expression data were transformed into log2 values and were fit on multiple linear models each probe across available matrix.
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