Arbeitspapier
A consistent nonparametric test of the convexity of regression based on least squares splines
This paper provides a test of convexity of a regression function. This test is based on the least squares splines. The test statistic is shown to be asymptotically of size equal to the nominal level, while diverging to infinity if the convexity is misspecified. Therefore, the test is consistent against all deviations from the null hypothesis.
- Sprache
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Englisch
- Erschienen in
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Series: SFB 373 Discussion Paper ; No. 1998,44
- Klassifikation
-
Wirtschaft
- Thema
-
least squares estimator
test of convexity
Likelihood ratio test
convex cone
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Diack, Cheikh A. T.
- Ereignis
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Veröffentlichung
- (wer)
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Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
- (wo)
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Berlin
- (wann)
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1998
- Handle
- URN
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urn:nbn:de:kobv:11-10056970
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Diack, Cheikh A. T.
- Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
Entstanden
- 1998