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分布数列的相等和极限

he Equal and Limit of Distribution Sequence

中文摘要英文摘要

在作者新提出的概率论公理化体系,CBH体系中,提出随机变量是一种可任意n阶独立拆分的分布数列,这里分布数列定义为它落在任何实数的可测集中的频率的极限都存在,并定义此频率的极限为概率。本文进一步研究分布数列,当然其性质和定义可以用在随机变量上面。一是研究分布数列的相等问题,提出了完全相等,以概率1相等,依概率相等及r阶收敛这四个概念。二是研究可列个分布数列的极限问题,同样有完全收敛极限,以概率1收敛极限,依概率收敛极限及r阶收敛极限的定义。这些定义和现在流行的传统概率论下的随机变量列的收敛的定义是兼容的,但是有概念更为明确的特点。

In the new axiom system, CBH system, put by author, the random variable is defined as a kind of distribution sequence which can be divided to any n distribution sequences mutually independent. Here the distribution sequence is defined as that its limits of frequency to drop in any measurable set of real number are exists and the limits are called probabilities. This paper researches the distribution sequence further more. The results of research of cause can use to random variables. First the problems of equals of two distribution sequences are researched, and give the four concept of completely equal, equal with probability one, equal with probability and equal with r rank. Then the problems of limits of countable distribution sequences are researched. So the definition of limits of completely convergence, of convergence with probability one, of convergence with probability and of r rank convergence. These definitions is compatible with that given by traditional probability theory, but the concepts will be more clear.

陈必红

数学

概率论概率论公理分布数列

probability theoryprobability axiomdistribution sequence

陈必红.分布数列的相等和极限[EB/OL].(2009-07-21)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200907-460.点此复制

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