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Within this methodology three particular methods, two non-parametric and one parametric, are formulated.
Point estimates and 95% confidence intervals (parametric) are stored using only alleles with a frequency of 2% or more which is reported to provide an acceptable balance between precision and bias (Waples and Do 2010) for the sample strategies tested.
In the continuous-time setting, there are currently three ways of constructing low gain feedback laws the eigenstructure assignment approach, the parametric ARE based approach and the parametric Lyapunov equation based approach.
The parametric ARE based approach results in a Lyapunov function along with the feedback gain, but requires the solution of an ARE for each value of the parameter.
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The other parameters (parametric) were analyzed by one-way ANOVA test.
Comparisons of uncertainties (structured) parametric and non-parametric are also presented.
Parametric data is expressed as mean (±SD), non-parametric is noted as median and range.
The Mann-Whitney U-test (non-parametric) was used for tumor multiplicities.
Non-parametric statistics will be used when assumptions for parametric methods are violated.
These parametric equations are called polar equations.
Results of parametric studies are also presented.
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