Power and level robustness of a test for composite hypotheses under independent non-homogeneous data
Abhik Ghosh and
Ayanendranath Basu
Statistics & Probability Letters, 2019, vol. 148, issue C, 35-42
Abstract:
We consider a class of density power divergence based tests for composite hypotheses under non-homogeneous data. This note provides a rigorous derivation of the power and level influence functions to theoretically justify their robustness with applications to fixed-carrier linear regressions.
Keywords: Power influence function; Level influence function; Robust hypothesis testing; Non-homogeneous observations; Linear regression (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:148:y:2019:i:c:p:35-42
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DOI: 10.1016/j.spl.2018.12.002
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