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- 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。
- 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。
- 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
- 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。
- 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
- An estimator is a random variable. 估计量是一个随机变量。
- 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 Approximation of Exponential Distribution on the Sequences of Dependent Nonnegative Continuous Random Variable 指数分布对任意非负连续型随机变量的逼近
- Some Sufficient and Necessary Conditions on Independence of Continuous Random Variable 连续型随机变量独立性的几个充要条件
- The expected value of a random variable. 期望值随意可。
- The Distribution of the Sum of a Discrete Random Variable and a Continuous Random Variable 离散型随机变量与连续型随机变量之和的分布
- Do The Function of A Continuous Type of Random Variable Also Belong To One? 连续型随机变量的函数还是连续型随机变量吗?
- 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
- continuous random variable 连续随机变量
- The key is the notion of a discrete quantization of a random variable X. 其中的关键是对一个随机变量X进行的离散量化的概念。
- Kurtosis is a classical measure of non-Gaussianity of random variable. 峭度是随机变量非高斯性的一个经典度量。
