On Limit Theorems for the Distribution of the Maximal Element in a Sequence of Random Variables

IF 0.5 4区 数学 Q4 STATISTICS & PROBABILITY
A. A. Borovkov, E. I. Prokopenko
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引用次数: 0

Abstract

Theory of Probability &Its Applications, Volume 69, Issue 2, Page 186-204, August 2024.
We study the distribution of the maximal element $\overline{\xi}_n$ of a sequence of independent random variables $\xi_1,\dots,\xi_n$ and not only for them. The presented approach is more transparent (in our opinion) than the one used before. We consider four classes of distributions with right-unbounded supports and find limit theorems (in an explicit form) of the distribution of $\overline{\xi}_n$ for them. Earlier, only two classes of right-unbounded distributions were considered, and it was assumed a priori that the normalization of $\overline{\xi}_n$ is linear; in addition, the components of the normalization (in their explicit form) were unknown. For the two new classes, the required normalization turns our to be nonlinear. Results of this kind are also obtained for four classes of distributions with right-bounded support, which are analogues of the above four right-unbounded distributions (earlier, only the class of distributions with right-bounded support was considered). Some extensions of these results are obtained.
论随机变量序列中最大元素分布的极限定理
概率论及其应用》第 69 卷第 2 期第 186-204 页,2024 年 8 月。 我们研究了独立随机变量 $\xi_1,\dots,\xi_n$ 序列的最大元素 $\overline{\xi}_n$ 的分布,而不仅仅是它们的分布。在我们看来,提出的方法比以前使用的方法更加透明。我们考虑了四类具有右无界支持的分布,并为它们找到了 $\overline{\xi}_n$ 分布的极限定理(显式)。早先只考虑了两类右无界分布,而且先验地假定 $\overline{xi}_n$ 的归一化是线性的;此外,归一化的分量(以其显式形式)是未知的。对于这两个新类别,所需的归一化原来是非线性的。对于四类有右界支持的分布,我们也得到了此类结果,它们是上述四类右无界分布的类似物(早先只考虑了有右界支持的分布类)。还得到了这些结果的一些扩展。
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来源期刊
Theory of Probability and its Applications
Theory of Probability and its Applications 数学-统计学与概率论
CiteScore
1.00
自引率
16.70%
发文量
54
审稿时长
6 months
期刊介绍: Theory of Probability and Its Applications (TVP) accepts original articles and communications on the theory of probability, general problems of mathematical statistics, and applications of the theory of probability to natural science and technology. Articles of the latter type will be accepted only if the mathematical methods applied are essentially new.
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