1.
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。
2.
The expected value of a random variable.
期望值随意可变量的期望值
3.
the expected value of the square of the deviations of a random variable from the point of origin.
偏离原点的随机变量的偏差平方的期望值。
4.
Distribution and expectation of the sum of randomization of many random variables;
随机多个随机变量之和的分布及期望
5.
The Resolving Methods of the Discrete Random Variable Mathematical Expectation;
离散型随机变量的数学期望分解求法
6.
Some Discussions on Expectation and Variance of Random Variable
关于随机变量数学期望与方差的讨论
7.
On the Mathematical Expectation of the Application of Scattered Random Variable
离散型随机变量的数学期望应用举例
8.
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
9.
Additivity of g-Expectation for Affine-ralated Random Variables;
g-期望关于仿射相关随机变量的可加性
10.
A Kind of Long - Lost Type Changes with The Machine the Deal Distributes the Row Expects with Mathematics;
一类离散型随机变量的分布列与数学期望
11.
Calculating Mathematical Expectation by Ways of Random Variable s Decomposition;
利用随机变量的和式分解计算数学期望
12.
To Get the Digital Expectation and Variance of Random Variance by the Method of Termwise Differentiation;
用逐项微分法求随机变量的数学期望与方差
13.
Some Existence Conditions about Mathematical Expectations of Random Variables
随机变量数学期望存在性的若干判定条件
14.
If measurement errors occur randomly, one can expect their mean to approach zero.
如果测量误差随机产生，可以期望他们的平均值近于零。
15.
the second moment around the mean; the expected value of the square of the deviations of a random variable from its mean value.
接近平均数的二阶矩；平均值随机变量的偏差的平方的期待值。
16.
Application of Mathematical Expectation of a Discrete Random Variable in Law,Medicine and Economy;
离散型随机变量的数学期望在法律、医学和经济等问题中的应用
17.
Stochastic Comparisons of Random Variables from Extreme Value Distribution of Type Ⅰ
Ⅰ型极值分布随机变量的随机比较(英文)
18.
The Stochastic DEA Model and Its Application Based on the Expected Value Approach;
基于期望值方法的随机DEA综合模型与应用