Abstract

We wish to test a simple hypothesis against a family of alternatives indexed by a one-dimensional parameter, θ. We use a test derived from the corresponding family of test statistics appropriate for the case when θ is given. Davies (1977) introduced this problem when these test statistics had normal distributions. The present paper considers the case when their distribution is chi-squared. The results are applied to the detection of a discrete frequency component of unknown frequency in a time series. In addition quick methods for finding approximate significance probabilities are given for both the normal and chi-squared cases and applied to the two-phase regression problem in the normal case.

Keywords

MathematicsNuisance parameterStatisticsSeries (stratigraphy)Chi-square testStatistical hypothesis testingTest (biology)EconometricsSimple (philosophy)Applied mathematics

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Publication Info

Year
1987
Type
article
Volume
74
Issue
1
Pages
33-43
Citations
2062
Access
Closed

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Cite This

Robert B. Davies (1987). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika , 74 (1) , 33-43. https://doi.org/10.1093/biomet/74.1.33

Identifiers

DOI
10.1093/biomet/74.1.33