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Hypothesis testing when a nuisance parameter is present only under the alternative

DAVIES, ROBERT B.·1987·Biometrika

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.

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Metadata

Authors
DAVIES, R. B.
Venue
Biometrika
Published
1987
Volume
74
Issue
1
Pages
33-43
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W2131940376
Cited by
2,056
References
0
FWCI
13.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hypothesis testing when a nuisance parameter is present only under the alternative. https://app.cochat.ai/papers/10.1093/biomet/74.1.33
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DAVIES, R. B. (1987). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika. https://doi.org/10.1093/biomet/74.1.33

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.