1.
					
							It derives several theorems associated with convergence properties of complex independent random variables.
						
						
						得到与复值独立随机变量序列收敛性有关的几个定理。
					2.
					
							The Relation of Convergence of Complex Random Variables Sequence;
						
					
					
						
						
					
					
						复值随机变量序列几种收敛性的关系
					3.
					
							Weak law of large numbers for the random variable sequences of un-independent and un-identical distribution;
						
						
						非独立不同分布随机变量序列的弱大数定律
					4.
					
							A Strong Law of Large Numbers for Weighted Sums of Double Arrays of Pair-wise Independent Random Variables;
						
						
						两参数两两独立的随机变量序列加权和的强大数定律
					5.
					
							General results of the strong law of large numbers for i.i.d.r.v. sequences.
						
					
					
						
						
					
					
						独立同分布随机变量序列强大数定律的一般性结果
					6.
					
							Complete Convergence for Arrays of Rowwise Independemt Random Variables
						
					
					
						
						
					
					
						行内独立随机变量组列的完全收敛性
					7.
					
							A Strong Limit Theorem for the Sequences of Integer-valued Random Variables;
						
					
					
						
						
					
					
						整值随机变量序列的一个强极限定理
					8.
					
							The limit theorems of weighted sums for the sequences of binary random variables;
						
					
					
						
						
					
					
						二值随机变量序列加权和的极限定理
					9.
					
							The Stochastic Order and Dual Stochastic Order of Real-Valued Random Variables;
						
					
					
						
						
					
					
						实值随机变量的随机序与对偶随机序
					10.
					
							A SMALL DERIVATION THEOREM   FOR THE SEQUENCE OF COUNTABLE   VALUE RANDOM VARIABLES;
						
					
					
						
						
					
					
						可列值随机变量序列的一个小偏差定理
					11.
					
							independent standard normal random variable
						
					
					
						
						
					
					
						独立标准正态随机变量
					12.
					
							On the Limit Distribution of the Maximum of i. i. d. Sequence with Random Index as a Regularly Varying Function
						
						
						具有正则变化函数型随机足标的独立同分布序列最大值的极限分布
					13.
					
							A Strong Limit Theorem for Conditionally Independent Random Variables Sequence Controlled by a Finite Nonhomogeneous Markov Chain
						
						
						一类被有限非齐次马氏链控制的条件独立的随机变量序列的强极限定理
					14.
					
							A CLASS OF STRONG LIMIT THEOREMS  FOR RUNS OF DEPENDENT SEQUENCES  OF BINARY RANDOM VARIABLES;
						
						
						相依二值随机变量序列游程的一类强极限定理
					15.
					
							This note is devoted to introduce the concept of dominated random sequence and give a weak law of large numbers for dependent random sequence.
						
						
						引入受控随机序列的概念,给出了独立随机序列的一个弱大数定律.
					16.
					
							Strong Limit Theorems for Independent Rough Variables Sequence
						
					
					
						
						
					
					
						独立粗糙变量序列的一类强极限定理
					17.
					
							A Equivalence Between Occurring Numbers and Sums of Condition Probability for Integer Random Variables Sequence
						
						
						整值随机变量序列发生次数与条件概率和的等价性
					18.
					
							A Class of Small Deviation Theorems for the Sequences of N-valued Random Variables with Respect to mth-order Nonhomogeneous Markov Chains
						
						
						任意N值随机变量序列关于m阶非齐次马氏链的一类小偏差定理