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Nonparametric regression for dependent data in the errors-in-variables problem

✍ Scribed by Toshio Honda


Book ID
108193468
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
264 KB
Volume
140
Category
Article
ISSN
0378-3758

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We develop a nonparametric test, based on kernel smoothers, in order to decide whether some covariates could be suppressed in a multidimensional nonparametric regression study. We give the asymptotic distribution of the statistic involved in our test, under a general dependence assumption on the sam