Abstract
Abstract Translation bias, rotation bias, and dispersion components of mean‐square error are used to construct standardized measures of agreement between predictions and observations for any model. They are simple but useful measures for evaluating goodness of fit in recreation demand models that violate the restrictive assumptions of linear regression.
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