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It has been addressed by different solution strategies, including labeling methods, ranking methods, constraint methods, and parametric methods.
For stabilization of linear systems subject to input saturation, there exist four different approaches of low-gain design all of which are independently proposed in the literature, namely direct eigenstructure assignment, H2 and H∞ algebraic Riccati equation (ARE) based methods, and parametric Lyapunov equation based method.
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The Taguchi method and parametric analysis were applied to study the effects of molding parameters on grating quality.
Survivorship was estimated by the Kaplan-Meier method and parametric survival models.
So far, all the literature on AQF can be divided into three categories [10]: (1) simple empirical methods, (2) physically based methods, and (3) parametric or non-parametric statistical methods.
In the second phase the finite volume method (FVM) and parametric design method are used.
With the equicorrelated variance structure, EE(Wald) had higher power than the other four methods, and the parametric approach was second best.
Other authors have proposed hybrid methods that include DFT and parametric methods to analyze the different frequency bands of a signal separately to reduce the computational burden and provide acceptable accuracy [29,30].
AMALGHMA adopts a set of statistical methods, such as bootstrap and parametric methods, which are important in the measurement process due to several factors, for instance, (i) oscilloscope resolution and (ii) resistor error.
The parametric method and non-parametric method are used to convert the accelerated test condition to actual condition.
Four known datasets are used for experimentation in order to validate the results and make comparisons between the simulation methods and the traditional parametric and non-parametric procedures.
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