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Hypothesis Testing: Methodology and Limitations
2001A test is a statistical procedure to obtain a statement on the truth or falsity of a proposition, on the basis of empirical evidence. After a brief historical account, attention is given to the contrasting approaches of R.A. Fisher's significance tests and J.Neyman and E. Pearson's tests of a null against an alternative hypothesis.
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A Test of Lippold's Hypothesis
Archives of Neurology, 1973Direct experimental evidence bearing on the hypothesis that the alpha rhythm is generated by tremor of the extraocular muscles which modulates the corneoretinal potential is presented. The average percent of alpha was continuously measured on a cat during ketamine hydrochloride anesthesia and decamethonium bromide paralysis. Alpha production increased,
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On Testing the Utility Hypothesis
The Economic Journal, 1997In order to be able to conduct a test of the (core) utility hypothesis that is not confounded with tests of (subsidiary) hypotheses that economic agents all have the same preferences and that their preferences are weakly separable, it is necessary to use data that are disaggregated and complete.
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Testing the Convergence Hypothesis
The Review of Economics and Statistics, 1994The authors show that, contrary to the beliefs of some previous analysts of international economic growth, the hypotheses of convergence and of mean-reversion are not equivalent. Under some assumptions, the rate of convergence is independent of the degree of mean-reversion; under other assumptions, mean-reversion is a necessary, but not a sufficient ...
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Hypothesis-testing in Classification
Nature, 1966A RECENT paper by Williams and Lance1 considers the place of probability in classification, and regards the concept as inapplicable where the population classified is finite. In limiting themselves to probabilities associated with sampling, however, they seem to ignore an important part which probabilistic considerations can and should play in ...
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1980
The most general situation so far has been testing θ ≤ θ0 against θ> θ0. We next wish to consider testing θ1≤θ≤θ2 against the two-sided alternative θ θ2. We can scarcely hope for a uniformly most powerful test for it would have to compete with the best available tests against the one-sided alternatives θ θ2 taken separately.
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The most general situation so far has been testing θ ≤ θ0 against θ> θ0. We next wish to consider testing θ1≤θ≤θ2 against the two-sided alternative θ θ2. We can scarcely hope for a uniformly most powerful test for it would have to compete with the best available tests against the one-sided alternatives θ θ2 taken separately.
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Hypothesis Testing and Nonparametric Test
2018It is often required to make some inferences about some parameter of the population on the basis of available data. Such inferences are very important in hydrology and hydroclimatology where the available data is generally limited. This is done through hypothesis testing.
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