2011
DOI: 10.1920/wp.cem.2011.1211
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Testing functional inequalities

Abstract: Abstract. This paper develops tests for inequality constraints of nonparametric regression functions. The test statistics involve a one-sided version of L p -type functionals of kernel estimators. Drawing on the approach of Poissonization, this paper establishes that the tests are asymptotically distribution free, admitting asymptotic normal approximation. Furthermore, the tests have nontrivial local power against a certain class of local alternatives converging to the null at the rate of n −1/2 . Some results… Show more

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Cited by 15 publications
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References 45 publications
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