In general, there are two basic approaches to proving the strong law of large Numbers (SLLN).
通常证明强大数定律有两种基本的方法。
The strong law of large Numbers for a class of the sequence of arbitrary random variables are obtained.
给出了一类任意随机变数序列的强大数律。
In this paper we get strong law of large Numbers of the absolute value sequences from ARCH based on the dependence of random variables from ARCH.
本文根据ARCH序列的相依性给出了ARCH模型绝对值序列的强大数定律。
Since 1953, people have studied the strong law of large numbers. the law of the iterated logarithm and complete convergence for B-valued random variables.
自1953年以来，人们对B值随机元序列大数定律、叠对数律及完全收敛性进行了研究。
This paper bases on the natures of characteristic functions and continuity theorem, introduces the use of characteristic functions in strong law of large Numbers.
在特征函数性质和连续定理的基础上，给出特征函数在强大数定律中的应用。
The purpose of this paper is to give a strong law of large numbers for occupation time of finite non-homogeneous Markov chains, which is an extension of the one of the homogeneous Markov chains.
本文的目的是给出有限非齐次马氏链占据时间的一个强大数定律，其结果是齐次马氏链情形的推广。
In this paper, the strong, law of large Numbers of B-valued random variable sequences and B-valued eventual martingales are investigated.
本文主要讨论了B值随机元序列的强大数定律与B值终鞅的强大数定律，它们是现有一些结果的补充与推广。
In this paper, the strong, law of large Numbers of B-valued random variable sequences and B-valued eventual martingales are investigated.
本文主要讨论了B值随机元序列的强大数定律与B值终鞅的强大数定律，它们是现有一些结果的补充与推广。
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