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The package also provides extended functionality for estimating confidence intervals for estimated model parameters and for evaluating the stability of the estimated evolutionary mixture models.
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The last case study illustrates the optimal design of experiments for estimating model parameters with maximal accuracy.
Usually traditional regression methods for estimating model parameters fail in this setting, since they overfit the data.
Remote sensing and Geographic Information System techniques were used to determine the geometric and hydrologic parameters required for estimating model parameters.
A number of studies have exploited the relationship between vegetation indices and radiometric surface temperature for estimating model parameters used in computing spatially distributed fluxes and available moisture.
The proposed methodology for estimating model parameters can be extended to many other computer vision algorithms.
Stone [2] suggested the use of leave-one-out cross-validation for estimating model parameters and for assessing their predictive error.
These (mixture) item response models have proven to be beneficial for estimating model parameters accurately in the context of rapid guessing behavior.
Moreover, this method may be particularly effective for underdetermined problems, in which observational data prove to be insufficient for estimating model parameters.
Thus, we go for estimating model stability to ensuring acceptability of both long run and short run coefficient of the study.
Laake [14] stressed that hunter effort needs to have sufficient temporal contrast to be useful for estimating model parameters, if it is the sole source of auxiliary data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com