Sentence examples for estimates of input from inspiring English sources

Indeed the model is simple enough to be used in planning meetings where participants can suggest alternative estimates of input variables and alternative mixes of possible interventions.

All uncertainty surrounding estimates of input parameters will be informed by appropriate distributions calculated from the longitudinal study or the literature.

A sensitivity analysis is based on the modification of the basic clinical and economic estimates of input variables over a plausible range of values to judge the effect on study results of alternative assumptions for the range of potential values for uncertain variables.

While a sensitivity analysis is based on the modification of clinical and economic estimates of input variables over a plausible range of values, a scenario analysis is based on the modification of the underlying therapeutic strategies of the model: e.g. society perspective, life-time horizon.

When only one arterial concentration measurement was used in the simultaneous estimation process, more accurate estimates of the input function were generally obtained using a measurement made in the late time interval (8 <t≤60 min).

Even though the same RNA inputs were also used for the TaqMan cDNA syntheses, similar estimates of the input copy numbers for the final PCRs cannot be calculated as the TaqMan cDNA was pre-amplified.

The 5-day spline interpolated time series, itself an accurate representation of the input time series, was described very accurately by TFA, and provides more accurate estimates of the input values of mean, amplitudes and phases.

In other words, the discrete particles with their importance weights will provide the Bayesian estimates of the input signal sequence.

This paper explores the application of Q and its six component parameters, for prediction, correlation and extrapolation of site investigation data, and for obtaining first estimates of some input data for both jointed distinct element and continuum-approximation modelling.

One of the key limitations in developing the stochastic models presented here was in deriving reliable estimates of model input parameters given uncertain and few data, and with limited time.

The task of making estimates of the input quantity (transcript concentration) of a measurement from observations of its output (intensity) is called calibration.