Sentence examples for predictions by simulating from inspiring English sources

A study using data from 1973 to 1998 on whales in the North Atlantic gave researchers detailed information on gestation times, growth rates, and calving periods, as well as allowing more accurate population predictions by simulating the mark-release-recapture technique (Katona and Beard 1982).

We investigated the effect of these fitting parameters on model predictions by simulating the model for different values of these parameters.

The compatibility of the two networks is evaluated through simulations in three ways: (1) comparing flow predictions obtained by simulating several leak scenarios; (2) comparing the expected identifiability (performance) of the two networks; and (3) comparing sensor placement configurations.

We discuss the results in terms of prediction accuracy by simulating sensor data stream to early recognize daily life activities inside an apartment.

The model predictions are validated by simulating a series of experiments conducted in pilot and industrial scale absorption columns with random and structured packings reported in the literature.

Predictions were generated by simulating the model 1,000 times using the parameter values sampled by LHS; methodological details are given elsewhere [ 1- 5], [ 11- 13].

We validated the final regression model by a comparison of prediction errors obtained by simulating 1,000 jack-knifed data sets.

Each prediction was generated by simulating bubble column startup with N = 100 node points and a final time of 1000 h to obtain the steady-state solution.

We verified our predictions by numerically simulating the one dimensional propagation of a scalar field propagating along the z direction19 in a transparent and isotropic dielectric medium (diamond and fused silica) that is arranged to scatter from a co-propagating inhomogeneity (see Methods).

The VPCs were obtained by simulating predictions from the model based on 12-week data for each arm, 500 times.

Given a sample of the posterior parameter distribution, predictions can be made by simulating the model for each of the parameter sets.