کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10526671 | 958505 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A note on testing the covariance matrix for large dimension
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
We consider the problem of testing hypotheses regarding the covariance matrix of multivariate normal data, if the sample size s and dimension n satisfy limn,sâân/s=y. Recently, several tests have been proposed in the case, where the sample size and dimension are of the same order, that is yâ(0,â). In this paper, we consider the cases y=0 and â. It is demonstrated that standard techniques are not applicable to deal with these cases. A new technique is introduced, which is of its own interest, and is used to derive the asymptotic distribution of the test statistics in the extreme cases y=0 and â.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistics & Probability Letters - Volume 74, Issue 3, 1 October 2005, Pages 281-289
Journal: Statistics & Probability Letters - Volume 74, Issue 3, 1 October 2005, Pages 281-289
نویسندگان
Melanie Birke, Holger Dette,