Calculate central limit theorem for the number of empty cells after allocation of particles

O. A. Islamova, Z. S. Chay, F. S. Rakhimova, Feruza Abdullayeva
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引用次数: 1

Abstract

This work belongs to the field of limit theorems for separable statistics. In particular, this paper considers the number of empty cells after placing particles in a finite number of cells, where each particle is placed in a polynomial scheme. The statistics under consideration belong to the class of separable statistics, which were previously considered in (Mirakhmedov: 1985), where necessary statements for the layout of particles in a countable number of cells were proved. The same scheme was considered in (Asimov: 1982), in which the conditions for the asymptotic normality of random variables were established. In this paper, the asymptotic normality of the statistics in question is proved and an estimate of the remainder term in the central limit theorem is obtained. In summary, the demand for separable statistics systems is growing day by day to address large-scale databases or to facilitate user access to data management. Because such systems are not only used for data entry and storage, they also describe their structure: file collection supports logical consistency; provides data processing language; restores data after various interruptions; database management systems allow multiple users.
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计算分配粒子后空细胞数的中心极限定理
本工作属于可分离统计量的极限定理领域。特别地,本文考虑在有限数量的单元格中放置粒子后的空单元格数,其中每个粒子以多项式格式放置。所考虑的统计量属于可分离统计量的类别,这是先前在(Mirakhmedov: 1985)中考虑过的,在那里证明了在可数细胞中粒子布局的必要陈述。在(Asimov: 1982)中考虑了相同的方案,其中建立了随机变量的渐近正态性的条件。本文证明了所讨论的统计量的渐近正态性,并给出了中心极限定理中剩余项的一个估计。总之,对可分离统计系统的需求日益增长,以解决大规模数据库或方便用户访问数据管理。因为这样的系统不仅用于数据输入和存储,它们还描述了它们的结构:文件收集支持逻辑一致性;提供数据处理语言;在各种中断后恢复数据;数据库管理系统允许多个用户。
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CiteScore
0.30
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发文量
11
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