Sentence examples for bootstrap approach based on from inspiring English sources

Confidence intervals were obtained by a parametric bootstrap approach based on 1000 replicates performed in ARLEQUIN.

To estimate the variance and point-wise 95% confidence intervals of the US hazard rates we used a bootstrap approach based on resampling the Pearson residuals, being O t the observed number of breast cancer deaths in each time interval (see Appendix for further details).

Uncertainty in the calculated feedback is estimated using a bootstrapping approach, based on 500 bootstrap samples.

This noise parameter is hard to characterize exactly, but it leads us to define bootstrapping approaches based on producing increasingly refined estimates of the noise.

For this reason, one might question whether an approach based on bootstrap and consensus appropriately summarizes the performance of ML for comparison with Bayesian inference, as Bayesian posteriors do directly measure subtree probabilities (given the priors, model and data).

Hence, in this paper, a new approach based on bootstrap technique with the interval analysis is presented in the context of the project risk assessment.

In this study, we propose an approach based on the residual-based bootstrap method to obtain valid prediction intervals using monthly, short-term (three-months) and mid-term (six-months) drought observations.

To test the significance of the differences in the rate of distance decay in floristic similarity between different regions, Baselga [56] bootstrapped the coefficients of these regressions using the ordinary non-parametric bootstrap with a case re-sampling approach based on 1000 randomisations.

To test the significance of the difference in the slope coefficients between the Alps and the Scandes, we bootstrapped the coefficients of these two regressions using the ordinary non-parametric bootstrap with a case re-sampling approach based on 1000 randomisations.

Also, a variant of the CPF approach based on the bootstrap sampling (BS) is shown to exhibit good performance in the presence of reduced number of observations.

A new two-dimensional (2D) approach based on parametric bootstrapping, on the other hand, is found both consistent and with a higher power than the individual tests, when tested on static and dynamic examples where the truth is known.