Sentence examples for model distribution from inspiring English sources

Exact(60)

For each measure the observational value must lie within 95% of the proxy model distribution for the modelled rainfall in the region to be deemed indistinguishable from the observations.

For model distribution purposes, we assumed that the frailties were distributed according to a gamma distribution [ 14].

I wonder whether we can replace the method of moments for estimating the model distribution with Bayesian inference of some sort?

Plasma parameters are derived from these data by fitting the measured currents to currents calculated by convolving model distribution functions with the sensor response.

In south east England the observed values all lie within 95% of the model distribution (Fig. 2b e) and hence the model is deemed to be statistically indistinguishable from the observations.

I will relate some of these challenges to uncertainty in the data and discuss how uncertainty affects search as well as to which extent the model distribution matches the data distribution.

The resulting surface brightness profile may then be imported into Sherpa and fit to a specified analytic model, e.g. the standard Beta model distribution often used to describe cluster profiles.

This study was designed to assess the extent of bacterial growth in a model distribution system fed with the water treated by nanofiltration (NF) membranes under controlled conditions.

In the robust version, the seller faces model uncertainty and only knows that the true demand distribution is in the neighborhood of a given model distribution.

Variant function effects, denoted 'eta,' have a bimodal, two-component mixture model distribution with one component describing variation among neutral and the other describing variation among pathogenic variants; we interpret the probability that a variant's eta arises from the pathogenic component as the probability of pathogenicity and its eta as a measure of function.

The procedure for updating the mechanical model, probabilistic model, distribution parameter statistics and reliability is illustrated for the fatigue reliability problem.

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