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To meet assumptions of normality, linearity, and homoscedasticity essential to methods of linear regression modeling, we logarithmically transformed IsoAsp, GAG, and protein values and used the D'Agostino and Pearson omnibus normality test to confirm a normal distribution.
In this chapter, we introduce the basic concepts and solution methods of linear systems.
From these intersections, combined properties closures have been constructed using conventional methods of linear programming.
Many well-developed concepts and analytic methods of linear time-invariant (LTI) systems cannot be applied to LTV systems.
The reaction conditions discussed in this report relate to the methods of linear scanning, cyclic voltammetry and constant current oxidation.
Starting from the proposed analytical spectral model of the loading, vibration serviceability analysis can be dealt with the classic methods of linear random dynamics.
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The methods of linear-elastic fracture mechanics have been applied.
A rank-invariant method of linear and polynomial regression analysis.
The parameters of the distribution model are derived using the method of linear moments.
Then, the standard method of linear matrix inequalities is used to design the gain matrix for such reduced model.
In order to estimate linear trend, amplitudes, periods and phases of geocenter variation a method of linear regression was applied.
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