ARIMA preliminary analysis, model selection and model fitting were undertaken using the Time Series Modeller procedure of SPSS V.20.
Multi-model comparison can provide useful information for model selection and improvement.
In regional hydrologic regression analysis, model selection and validation are regarded as important steps.
This uncertainty is much larger than the model selection and fitting uncertainty.
The proposed workflow consists of three components: history matching, model selection and production optimization.
It includes classification, regression, clustering, dimensionality reduction, model selection, and reprocessing.
More recently, a Bayesian NMF approach [14] was proposed for model selection and image reconstruction.
The UVigo LVCSR system comprises three different stages: audio segmentation, acoustic model selection, and ASR decoding.
A penalized quasi-maximum likelihood method is developed for simultaneous model selection and parameter estimation.
Competitive results were achieved when compared with a heuristic model selection and other Data Mining algorithms.
In both cases, model selection and derivative information influences accuracy and efficiency of simulation/design results.
