Uniform bounds in normal approximation under negatively associated random fields
We give uniform rates of convergence in the central limit theorem for negatively associated random fields with finite (2+[delta])th moment. These results are of an order close to the best possible if not the best possible. As application, we obtain precise asymptotics in the law of the logarithm.
| Year of publication: |
2009
|
|---|---|
| Authors: | Cai, Guang-hui ; Wang, Jian-Feng |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 79.2009, 2, p. 215-222
|
| Publisher: |
Elsevier |
Saved in:
Saved in favorites
Similar items by person
-
Strong laws for weighted sums of NA random variables
Cai, Guang-hui, (2008)
-
A Nonclassical Law of the Iterated Logarithm for Functions of Positively Associated Random Variables
Wang, Jian-Feng, (2006)
-
Li, Yun-Xia, (2008)
- More ...