2) sequence of complex independent random variables
复值独立随机变量序列
1.
Several theorems about the relation between the sums of sequence of complex independent random variables and convergence are derived.
得到复值独立随机变量序列部分和同收敛性有关的几个定理。
2.
This paper derives several theorems concerning weak law of large numbers for sequence of complex independent random variables.
得到复值独立随机变量序列的几个弱大数定理。
3.
This paper derives several of theorems concerning strong law of large numbers and problems relative to it for sequence of complex independent random variables.
得到复值独立随机变量序列的几个强大数定理及有关定
4) integral random sequence
整值随机序列
1.
Some small deviation theorems on moving average of partial sums for arbitrary integral random sequences;
非负整值随机序列滑动平均的若干强偏差定理
2.
In this paper, we study small deviation theorems of moving average for arbitrary integral random sequences.
研究任意整值随机序列部分和滑动平均的小偏差定理 ,在适当的条件下 ,有 :liminfN h- 1(N) ∑N +h(N)i=NXi α(r(ω) ) ,limsupN h- 1(N) ∑N+h(N)i =NXi β(r(ω)
5) random variable sequence
随机变量序列
1.
Strong deviation theorems for a class of random variable sequence on Γ-distribution;
一类随机变量序列关于Γ-分布的强偏差定理
2.
Based on introduceing one random variable sequence,the paper delindes bilateral and lower side bitangent random Dirichet series on the Probatility Space (Ω,A,P),discusees the convergence of lower side bitangent Dirichlet series,and establishes the growt.
定义了双侧与下侧二重Dirichlet级数 ;建立了这两类级数所定义的二元整函数f1(s,t) ,F(s ,t)θ线性级与下级 (0 <θ <π2 )的理论 ;通过引进一个随机变量序列 ,在概率空间 (Ω ,A ,P)上定义了双侧与下侧二重随机Dirichlet级数 ,讨论了下侧二重随机Dirichlet级数的收敛性 ,建立了这两类级数所定义的随机整函数f1(s,t,ω) ,F(s,t;ω)的增长性理
6) N-sequence of random variable
随机N变量序列
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条