Principles and Methods in the Testing of Alternative Models
AbstractThis paper seeks to distinguish the principles upon which testing of statistical hypotheses may be based and the practical method which these principles generate. Six examples are given for the case of nested hypotheses as illustrations. The concept of an artificial model is analyzed. When arbitrary numerical methods are used as 'identifying' restrictions, the artificial model reduces to an algorithm since it cannot reasonably be 'accepted'.
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Bibliographic InfoPaper provided by Queen's University, Department of Economics in its series Working Papers with number 400.
Date of creation: 1980
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