Principles and Methods in the Testing of Alternative Models
This 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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