The transformation from a set of distributions into a mixture of molecules is obtained by Monte-Carlo sampling, while a simulated annealing procedure adjusts the parametric distributions.
Indeed, since the GCI method is closely related to the nonparametric Bayesian method [ 34], it may be that nonparametric Bayesian methods can be used to adjust the Bayesian parametric intervals.
It has on-line learning ability to deal with the parametric uncertainty and disturbance by adjusting the control parameters.
The three-dimensional surface model of a complex object can be created by fitting the data with low-order parametric surface patches, and adjusting the control parameters such that the constituent patches meet seamlessly at their common boundaries.
The significance of the centred data at P = 0.05 was determined using a parametric-based statistical test, adjusting the individual P-value by the Benjamini and Hochberg false discovery rate multiple test correction.
Significance of the centred data at P = 0.05 was determined using a parametric-based statistical test adjusting the individual P-value with the Benjamini and Hochberg false discovery rate multiple test correction (Benjamini and Hochberg, 1995).
Parametric resonance and beam mismatch have been carefully avoided by adjusting the structure parameters.
If necessary, we used SQRT (square root) transformation to obtain normally distributed variables, or a weighted least squares (WLS) approach to adjust the variances before conducting parametric analyses (SPSS 17.0).
Based on the review of 75 studies, it is observed that event studies generally choose BIST-100 (formerly, ISE-100) market index and market adjusted returns with the parametric tests.
However, since we will be performing a non-parametric test, we adjusted the sample size accordingly since we were determining the detectable effect size using a parametric calculation.
