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- Later Professor Liu Wen studied the Shannon-McMillan theorem in information theorems[2]-[8] and deviation theorems of non-negative continuous random variables[10]-[11]by using the analytic technique and obtained some strong deviation theorems . 后来，刘文教授把分析方法用于信息论中Shannon-McMillan定理和连续型随机变量的偏差定理的研究，得到了若干强偏差定理。
- Differing from the two assumptions, the problem is studied further taking the replenishing interval as a continuous random variable in cyclical replenishment. 笔者在不同于以上两个假定条件下研究多阶段存贮问题，周期补货但补货间隔取为连续型随机变量。
- Interval Estimation of Two Kinds Continuous Random Variables Unknown Parameter 两种连续型随机变量未知参数的区间估计
- In this paper,the optional model on the seasonal order of goods when the demand is a continuous random variable is set up and is simply illustrated in practice according to maximum expected profits. 从供求关系的角度,考虑预期利润最大,建立了需求为连续型随机变量时的阶段性货物订购的优化模型,分别得到了与存贮费用有关、考虑缺货损失以及多阶段订购毋需订购费用时的最优进货量。
- A Class of Strong Deviation Theorems for the Sequences of Absolutely Continuous Random variables 连续型随机变量序列的一类强偏差定理
- A Class of Strong Deviation Theorems on Random Selection for the Sequences of Absolutely Continuous Random Variables 连续型随机变量序列随机选择的一类强偏差定理
- Neither Discrete Nor Continuous Random Variable 既不离散也不连续的随机变量
- continuous random variable sequence 连续型随机序列
- continuous random variables 连续随机变量
- The Six Sigma Black Belt should be able to compute expected values for continuous and discrete random variables. 西格玛黑带应能计算出连续或离散随机变量的期望值。
- Distribution of continuous random variable of one and two dimentions 一维与二维连续随机变量的函数的分布
- Seeking the Probability Density of Continuous Random Variable Function 求连续型随机变量函数的概率密度
- The Transformation From Continuous Random Variable to Unit Random Variable 连续型随机变量的单位化
- Theoretical Discussion of One-dimensional Continuous Random Variable 一维连续型随机变量函数分布的理论研究
- A time series data set is a sequence of random variables indexed by time. 时间序列数据是以时间为指标的一个随机变量序列。
- An estimator is a random variable. 估计量是一个随机变量。
- The expected value of a random variable. 期望值随意可。
- In this paper, it is proved that two random variables' independence can infer their no-correlation and its untenable inverse proposition. 本文证明了由两随机变量的独立性可推出它们的不相关性，但逆命题不成立。
- The Approximate Calculation of the Expectation and Variance of Continuous Random Variable Functions 连续型随机变量函数的期望和方差的近似计算
- The formula for empirical frequency correlation coefficient between two random variables is demon -strated. 导出了两随机变量的频率相关系教的公式。
