Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R statistic from the fit (which measures the fraction of the total variability in the response that is accounted for by the model).
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- Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R statistic from the fit (which measures the fraction of the total variability in the response that is accounted for by the model).
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- Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R statistic from the fit (which measures the fraction of the total variability in the response that is accounted for by the model).
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- Statistical model validation
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