With now well-recognized nonnegligible model selection uncertainty, data analysts should no longer be satisfied with the output of a single final model from a model selection process, regardless of ...
In many contexts involving multivariate linear regression models, some or all of the independent (predictor) variables are measured with error. It is argued that if ...
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