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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Year of publication:	1980
Authors:	Fisher, Gordon ; McAleer, Michael
Institutions:	Economics Department, Queen's University

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Series:	Working Papers.
Type of publication:	Book / Working Paper
Notes:	3 pages long
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005653159