Nonparametric variables were transformed to parametric using the log transformation option and then analysed using a 2-tail paired t-test.
Data were logarithmically transformed allowing parametric tests.
Plasma CoQ10 data (skewed distribution) were logarithmically transformed for parametric analysis.
All variables deviating from normal distribution were log transformed before parametric statistics were calculated.
The normalized ratios of the loop and matrix/scaffold signals were not found to be simple symmetric distributions that could be readily transformed for parametric statistics (i.e. Kolmovorov Smirnov test for normality failed for all datasets).
However, if data are grossly non-normal and cannot be successfully transformed, non-parametric methods will be used.
The OCC values were log-transformed when parametric tests were used.
A nonlinear fluid flow model which is transformed into a parametric strict feedback form is used to analyze and control.
The implicit geometry by the level sets is transformed into the parametric NURBS curves by minimizing the difference of velocity fields in both representations.
Optimal control profiles at different initial conditions are represented by a truncated K L expansion and the optimal control is thus transformed into a parametric optimization with the K L coefficient(s) as the optimization variable(s).
