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These growth models were based on either linear (derived from the Monod model) or nonlinear (Gompertz, Logistic, Richards, and Baranyi) equations (Table 1) and reparameterized to reflect microbial growth parameters as derived by Zwietering et al. [ 3].
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We used, as binary classifier, a linear projection derived from linear discriminant analysis (LDA) as in [3]. Figure 7 Evaluation of HTER in each plane when multiresolution area ( R t ) is increased.
*Estimates of P value for linear trend based on linear scores derived from medians of each BMI category.
†Estimates of P value for linear trend based on linear scores derived from medians of each hip circumference category.
†Estimates of P value for linear trend based on linear scores derived from medians of each waist circumference category.
†Estimates of P value for linear trend based on linear scores derived from medians of each waist:hip ratio category.
*Estimates of P value for linear trend are based on linear scores derived from the medians of each weight change category.
The non-linear model used for simulations and the linear model derived for control synthesis include representations of all the important environmental disturbance sources and reference dynamics.
Most of these studies applied linear models derived from the MOS procedure and originally designed for linear variables.
The slope of the fitted linear function is not very different to that of the linear function derived from Equation 3 of Bauch et al. (2009) [ 12].
CMC is an anionic linear polysaccharide derived from cellulose.
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