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By setting these equations to zero, the maximum likelihood estimate of model parameters is obtained.
As the sample had already been used for model selection, this estimate of model performance is overly optimistic.
Therefore, even though the performance of the aforementioned models may appear to be satisfactory, the results are an optimistic estimate of model performance.
Open image in new window Fig. 9 Progressive estimate of model car mass using experimental data [7] and its comparison with true value.
Similar to the current work the authors performed a temporal validation (on ChEMBL release 13) as a more realistic estimate of model performance.
Therefore, this method is expected to give an optimistic estimate of model performance; for a more representative performance estimate, a more challenging validation is exemplified below.
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Applications with biomass estimation and robust recovered fit statistics gave reasonable estimates of model errors in tree level estimates of biomass.
Estimates of model parameters were augmented from studies in a local population.
Estimates of model parameters were obtained by fitting the model to the experimental data.
Estimates of model parameters are also used to derive income elasticities and the Frisch parameter (See Table 9).
Table 2 presents the estimates of model 7 for physical functional status, depressive symptoms, and self-rated health.
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