Sentence examples for bootstrap resampling based on from inspiring English sources

To further assess the quality of model, we compute out-of-sample R 2 through 20-fold cross-validation and compute the confidence interval for each out-of-sample R 2 by using bootstrap resampling based on 1,000 replications and compute the bootstrap percentile confidence interval at 95% level of confidence.

In this process the data were first split into a training set and a test set via a bootstrapping resampling based on the biological replicates; i.e. all the samples from the same biological replicates were considered as one during the resampling.

Table 2 summarizes the statistical values of the data sets, with a 95%% confidence interval derived by resampling based on the bootstrapping method (Efron and Tibshirani 1994).

Table 1 summarizes the statistical results of the ensembles for each value of (zeta), with a 95%% confidence interval derived by resampling based on the bootstrapping method (Efron and Tibshirani 1994).

The resampling selector's main purpose is to alter the resampling operation between traditional variation resampling and traditional resampling, based on memory adaptation.

In order to have greater insight into the stability of the final Cox multivariate models for prognostic value of change in HRQoL from baseline, and thus evaluate the importance of a single variable being included as an independent factor, we conducted a bootstrap resampling technique based on 5,000 bootstrap-generated simulation datasets.

Because subjects could contribute data at multiple time points, bootstrap resampling was based on subject rather than data-point.

Our second-layer bootstrap resampling is directed at addressing this problem, by using the information gleaned from the initial bootstrap step as a starting point to constructing second-level resamples based on residuals not from a single model fit, but rather from a weighted set of plausible candidate models.

Bootstrap resampling support was based on 100 (ML) or 2000 (MP, NJ) replicates, with TBR branch swapping of starting trees obtained by stepwise addition.

As before, we estimated pollutant-property specific CIs using a bootstrapollutant-property specificpling with replaCIsent 500 times.

The delta method is a general technique for asymptotic distributions of functions of random variables, based on Taylor series approximation [ 31], and the bootstrap is based on resampling the data with replacement and using the bootstrap replications to estimate the functions of interest [ 32].