Sentence examples for conditional parameters from inspiring English sources

In this study, the focus is to apply the Bayesian approach for the evaluation of concrete mixture design in assessing concrete material performance based on selected conditional parameters (i.e., safety, durability, etc).

For comparison, three other factors are reported to correlate positively with the genome-wide distribution of DSB hotpots, at least under conditional parameters [23], [24].

In both fission yeast and budding yeast, DSB peaks are associated with a slightly elevated G C content (P>0.05 to P≤0.0001, depending upon window size and the other conditional parameters applied).

The relations between the conditional parameters and ROC-AUC or sensitivity/specificity were evaluated.

The choice of this prior distribution for the conditional parameters ensures a reasonable level of dependence between d-connected variables in the generative structure [ 20].

The so-called MACAULAY brackets as in 〈γ〉 defines a conditional parameter as being 1 or 0 depending on the VONMISES equivalent stress, σ eq, defined by the deviatoric stress, σ |ij|, as follows sigma_{text{eq}} = sqrt{frac{2}{3} sigma_{|ij|} sigma_{|ij|}}, sigma_{|ij|} = sigma_{ij} - frac{1}{3} sigma_{kk} delta_{ij}, (22).

It depends on the same update procedure as BW, but iteratively applies this procedure to conditional parameter distributions rather than to the complete joint likelihood/posterior.

Multivariate analysis of the independent prognostic factors for survival was performed using the backward stepwise (likelihood-ratio statistics based on the conditional parameter estimate) method of the Cox proportional hazard regression model with a 95% confidence interval (CI).

This stepwise method of variable selection involves entry testing based on the significance of the score statistic, and removal testing based on the probability of a likelihood-ratio statistic based on conditional parameter estimates.

Likelihoods in the following model specification are easily identified as statements of states and observations conditional on parameters and covariates, and priors are statements of parameters conditional on distribution shape parameters.

Next, the added value of the QR model as a statistical tool for completing the regression picture resulting from the LS approach, is examined in terms of the difference between conditional quantile parameters at different points of the distribution of reading and mathematics scores, and between those parameters and mean regression coefficients.