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A Dempster methodology for ordering the sample points of the sample spaces throughout the likelihood ratio was also considered to compute the p-values.
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Here we demonstrate the utility of the POPSEQ methodology for mapping, ordering and imputing marker data from GBS.
In this work, new methodologies for order reduction of nonlinear systems with periodic coefficients subjected to external periodic excitations are presented.
This work is intended to define an optimal methodology for preparing highly ordered TiO2 nanotube arrays by a 60-V anodization in a glycol ethylene solution.
A methodology for determining reduced order models of periodically excited nonlinear systems with constant as well as periodic coefficients is presented.
The simulations and corresponding experiments are used as the basis for a design methodology for selecting the order and magnitude of the loads applied during the forming process.
This paper shows some experiments that prove the performance of this methodology for a second order-modeled system with 3 degrees of freedom.
A new methodology for developing higher-order scheme for SDEs (by comparing the moments of the increments of the numerical approximation with those of the exact increments) is used to develop this scheme.
We present a methodology for the high order approximation of hyperbolic conservation laws in networks by using the Dumbser Enaux Toro solver and exact solvers for the classical Riemann problem at junctions.
The existing tuning methodologies for fractional order PIλDμ are not always satisfy the given gain crossover frequency and phase margin simultaneously.
It shows the necessity to get an efficient methodology for open innovation in order to build a computer aided tool for inventive design in Process Systems Engineering (PSE).
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