Sentence examples for interval of model from inspiring English sources

Therefore, for each time interval of model training, the dataset will be different.

Noted is that the present GCM does not use a sub time interval for the cloud microphysics calculation but the time interval of model integration is reduced to 900 s for all GCM and microphysics variables except the terms with the terminal velocity computed every 20 s.

An alternative approach, particularly useful when an estimate of the variance of parameter is unavailable, is to characterize the uncertainty in the relative risk as an interval (i.e., the parameter's value can be anywhere between a lower and upper bound) and compute an associated interval of model output (De Figueiredo and Stolfi 2004).

As the second major contribution, we describe how to measure confidence intervals of model predictions.

We employed a bootstrap approach to obtain the 95th confidence intervals of model parameters (Efron and Tibshirani 1993) where a subsampled dataset was obtained by randomly sampling dv/v data point from the entire dv/v time series.

The number of HIV infections could be estimated accurately using simulated data, with most values within the 95% confidence intervals of model predictions.

When the MCMC algorithm converges, it yields successive samples from the posterior distribution of the parameters given the data that may be used to estimate summary statistics such as confidence intervals of model parameters to, theoretically, any desired degree of accuracy.

For the simulations of melanin coloration, which were calibrated to produce weaker correlations between the sexes, the predictions of each model were more variable and thus the power to discriminate models was low (probability of statistics within confidence interval of alternative model always > 76%).

The thick curved line is the Rasch mathematical model, the thinner lines on either side are the 95% confidence interval of the model, and the 'x's joined by the jagged line are the empirical data.

A model is rejected when the Carduelis data falls outside the two-tailed 95% confidence interval of the model's simulated outcomes.

The quantity W95 is the deviation of the empirical value of W from the model median normalized by the width of the upper or lower half of the central interval of the model distribution of W at the 95% significance level.