The behaviour of linear model selection tests under globally non-nested hypotheses

作者: Mitchell R. Watnik , Wesley O. Johnson

DOI:

关键词: Statistical hypothesis testingAlternative hypothesisLinear modelAlgebraic numberSelection (genetic algorithm)MathematicsStatistics

摘要: SUMMARY. We consider the asymptotic behaviour of tests for non-nested linear model selection under alternative hypothesis. three testing procedures: J-test (cf. Davidson and MacKinnon, 1981); JA-test Fisher McAleer, modified Cox test Godfrey Pesaran, 1983). All are shown to have positive means true alternative. Thus, discriminating between models, they should be treated as one-sided tests. derive distributions slightly versions these statistics in order obtain relative eciencies. The selected since greater power than original statistics. Both algebraic theoretical relationships among indicated.

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