Mohamed El Machkouri, Radu Stoica
Published 2009-07-09Version 1
We establish the asymptotic normality of the regression estimator in a fixed-design setting when the errors are given by a field of dependent random variables. The result applies to martingale-difference or strongly mixing random fields. On this basis, a statistical test that can be applied to image analysis is also presented.
Asymptotic normality for estimators of the additive regression components under random censorship
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Asymptotic normality of a nonparametric estimator of sample coverage
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