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Conversely, parsimonious models try to explain phenomena with as few parameters as possible.
Best Subset Regression was applied to identify parsimonious models linking applied components to MFT outputs.
We also calculated Akaike's information criterion (AIC) to determine the most parsimonious models predicting burrow density.
Logistic regression models similarly identified relative soil moisture and temperature in all parsimonious models.
It gives parsimonious models, selects significant variables, and reveals nonlinearities in the effects of predictors.
Final parsimonious models were selected by comparing Akaike's Information Criterion AICC) among competing nested and non-nested models.
As a result and following Hole [39], we focus only on the more parsimonious models in our analyses.
It is often useful to have parsimonious models of yield curves, and there have been a number of suggested methods.
The bottom panel shows the variance difference w.r.t. the model with 11 uncertain parameters for four parsimonious models.
Lately also variable selection has been combined with PLS regression in order to get more parsimonious models.
Instead, Kydland and Prescott built parsimonious models that explained business cycles with changes in technology and productivity.
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