We calculated the pooled proportion as the back transform of the weighted mean of the transformed proportions, using DerSimonian-Laird weights in a random effects model, 7 and report 95% confidence intervals.
The pooled proportion was calculated as the back transform of the weighted mean of the transformed proportion, using inverse arcsine variance weights for the fixed effects model and DerSimonian and Laird 13 weights for the random effects model.
As corollaries, the authors get the estimates of the Fourier transform on the weighted amalgams and Besov spaces.
By incorporating the bilinear pole-shifting transform into the weighted multivariable mixed-sensitivity framework, the design procedure of the robust controller is able to allow for various realistic performance requirements in terms of steady-state error, dynamic response characteristics, disturbance rejection and robustness to parametric variations.
Two transformations are studied which transform the given equation into another weighted second order difference equation of the same type, these are based on the Crum transformation.
The FT(χ k)*k3), often referred to as pseudo radial distribution function, was calculated by Fourier transforming the k3-weighted experimental χ(k) function, multiplied by a Bessel window, into the R space.
In general, we can transform the fitness function in a weighted average of the form: With respect to this new formulation, the fitness function of the GP algorithm whose results were presented in the previous section can be expressed as 0.9 × FalseNegative + 0.1 × FalsePositive.
The data were transformed using the weighted least squares method.
The pooled proportion was calculated as the back-transform of the weighted mean of the transformed proportions, using inverse arcsine variance weights for the fixed-effects model and DerSimonian-Laird weights for the random-effects model.
The radial distribution function (RDF) was obtained by Fourier transforming the EXAFS k2-weighted spectra to real space using a Bessel window function.
