Asymptotic normality of kernel estimates in a regression model for random fields
نویسندگان
چکیده
منابع مشابه
Asymptotic normality of kernel estimates in a regression model for random fields
We establish the asymptotic normality of the regression estimator in a fixeddesign 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. AMS Subject Classifications (2000): 60G60, 60F05, 62G08
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ژورنال
عنوان ژورنال: Journal of Nonparametric Statistics
سال: 2010
ISSN: 1048-5252,1029-0311
DOI: 10.1080/10485250903505893