Sentence examples for between model and observed from inspiring English sources

The results show in general a good agreement between model and observed B0 at night but an over estimation during daytime.

The error between model and observed values is calculated using either objective function given by Eqs.

Agreement between model and observed δ13C values is much improved over the inner-sphere and quinone models (Fig. 9e).

A VAS elicitation was undertaken with two groups of similar respondents and the resulting utility functions based on the valuations of the two different valuation subsets were compared using mean absolute errors between model and observed values, and by correlation with values in and out of sample.

The observed OLS slope of crown radius vs dbh had an average of 0.0692 m cm−1, with range 0.0217 to 0.2198, compared to a mean model prediction of 0.0696; for these slopes, the mean absolute deviation between model and observed was 0.0145 (i.e. 0.01 m radius per cm dbh).

The mean and standard deviation are also shown for each distribution as an indicator of the likeness between model and observed distributions.

"The good comparison between models and observed cloud trends has made mitigation even more urgent".

Another important score is the ACC which gives an idea of the correlation between models and observed data, subtracting the climatological mean.

For comparisons between models and observed data, all of these methods employ composite likelihoods, which estimate the overall likelihood using combinations of likelihoods calculated from independent subsets of the data.

Open image in new window Fig. 3 Distribution of trip length in Melbourne between the model and observed data Open image in new window Fig. 4 Distribution of HBW trip length in Riyadh between the model and observed data Open image in new window Fig. 5 Distribution of NHBW trip length in Riyadh between the model and observed data.

Although many other terms have been used – model adequacy, model checking, model validation, model evaluation [3], [5] –, we will use the term goodness-of-fit to refer to this confrontation between statistical model and observed data.