Model Evaluation and Selection
نویسندگان
چکیده
Assessing the viability of a quantitative model given observed data is generally done in three steps: model fitting, testing, and selection. In model fitting, we find the parameter values that best fit observed data. This is followed by model testing in which null hypothesis significance tests allow us to evaluate the descriptive adequacy of a model’s fit to data. Model selection concerns the issue of choosing the model, among a set of competing models, that generalizes best to as yet unseen data samples.
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