Sentence examples for mixture data from from inspiring English sources

To the experimental data from this work and mixture data from other authors temperature dependent UNIQUAC parameters were fitted.

This is illustrated in Fig. 9, where scatterplots of estimates from stimulus mixture data assuming a specific model is plotted against estimates from single stimulus data.

For example, PM-RA means parameter estimates of the probability-mixing model fitted to data simulated from the response-averaging model Fig. 9 Estimates of μ and σ estimated from stimulus mixture data under either the probability-mixing or the response-averaging model plotted against the estimates from single stimulus data, for 100 repetitions.

This set can be constructed beforehand or determined via bootstrap methods from the mixture data itself, but either way it may be incomplete or inaccurate.

In addition we compared the predicted responses from the mixture data under the hypothesis of additivity (following the methods in Gennings et al. 2002) to the observed sample means using an F-test (df = 6, 1,305).

We used this restricted model to predict the mean responses for the mixture data using the constraint of additivity given in Equation 1. Finally, we compared the predicted responses from the mixture data under the hypothesis of additivity (Casey et al. 2004; Gennings et al. 2002) with the observed sample means using an F-test.

The mixture of data from various origins does not necessarily mean that such a model is unrealistic.

Drugs prescribed to treat malaria were identified using a mixture of data from the exit interviews and records of study patients who had visited inpatient or outpatient care.

The mixture of quantitative data from the dental camps and qualitative data from the focus groups introduced Zahid to the unique powers of each in telling a complete story about a community's health.

By fitting mixture models to data from whole genome sequences we show that the size-frequency distributions for ORFS are strikingly similar across prokaryotic and eukaryotic genomes.

The application of the non-phylogenetic mixture model to data from the COG and TRIBES databases generates phylogenetic trees in which the parasites do not form a clan.