## Abstract Let __X__, __X__~1~, __X__~2~, โฆ be i.i.d. random variables with nondegenerate common distribution function __F__, satisfying __EX__ = 0, __EX__^2^ = 1. Let __X~i~__ and __M~n~__ = max{__X~i~__, 1 โค __i__ โค __n__ }. Suppose there exists constants __a~n~__ > 0, __b~n~__ โ __R__ and a non
Limit theorems for the number and sum of near-maxima for medium tails
โ Scribed by Zhishui Hu; Chun Su
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 219 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0167-7152
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โฆ Synopsis
Let X 1 ; X 2 ; : : : ; be a sequence of i.i.d. random variables. X j ; j 6 n is called a near-maximum i X j falls within a distance of the maximum M n = max{X 1 ; : : : ; X n }. In this paper, we focus on medium tailed distributions. A useful relationship on the number of near-maxima is built between general medium tailed and exponential distributions. Limit properties of the ratio S n (a)=S n are discussed, where S n (a) is the sum of near-maxima.
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