| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7549013 | Statistics & Probability Letters | 2016 | 6 Pages |
Abstract
In this paper, higher-order expansions for distributions and densities of powered extremes of standard normal random sequences are established under an optimal choice of normalized constants. Our findings refine the related results in Hall (1980). Furthermore, it is shown that the rate of convergence of distributions/densities of normalized extremes depends in principle on the power index.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Wei Zhou, Chengxiu Ling,