کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1153048 1489900 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Testing for lack of dependence between functional variables
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
Testing for lack of dependence between functional variables
چکیده انگلیسی
We introduce a test for the lack of dependence between two random variables valued into real Hilbert spaces. Here, we consider lack of dependence in the broader sense, that is, non-correlation. The test statistic is similar to the one proposed by Kokoszka et al. (2008) for testing for no effect in the linear functional model. The asymptotic distribution under the null hypothesis of this statistic is obtained as well as a consistency result for the proposed test. Applications to the case of functional variables are indicated and simulations show, in this context, the performance of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistics & Probability Letters - Volume 80, Issues 15–16, 1–15 August 2010, Pages 1210-1217
نویسندگان
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