1.
Reliability-enabled robust design for multi-failure-mode mechanical systems based on non-normal distribution parameters
非正态分布参数的多失效模式机械系统可靠性鲁棒设计
2.
Method of Detection for Outliers in Two-parameter Lognormal Distribution
双参数对数正态分布异常数据的检测方法
3.
Parameter estimation of logarithmic normal distribution with one parameter under type I censoring sample with missed data
定时截尾样本数据有缺失情形下单参数对数正态分布的参数估计
4.
Some Posterior Distributions of Parameters in Normal Linear Model and Their Sampling Method under Counter x~2 Distribution;
逆卡方分布下正态模型参数的后验分布及其抽样算法
5.
The Posterior Distribution of the Parameters of Normal Distribution with Missing Data and Its Sampling Algorithm
有缺失数据的正态母体参数的后验分布及其抽样算法
6.
Techniques from the Probabilistic perturbation method and the Edgeworth series technique were employed to present the practical and effective method for the reliability optimization design for torsion bar with non-normal distribution parameters of vehicle under the conditions of given the first four moments of basic random variables.
讨论了随机参数服从非正态分布扭杆的可靠性优化设计问题。
7.
A Portfolio Selection Model Conditional on Non-normal Stable Distributions:Mean-scale Parameter Model;
非正态稳定分布条件下的投资组合模型:均值-尺度参数模型
8.
Discussion on Parameters and Fixed-Order Problem of Mixed Normal Distribution Based on EM Algorithm
基于EM算法的混合正态分布的参数求解及定阶问题的探讨
9.
Tables for statistical distributions--Normal distribution
GB/T4086.1-1983统计分布数值表正态分布
10.
Periodicity Analysis for a Class of Dynamic Systems with Reaction-diffusion Terms
一类分布参数动态系统的周期性分析
11.
Modified Maximum Likelihood Estimation of the Shape Parameter for Gamma Distribution
Γ-分布形状参数的修正极大似然估计
12.
Algorithms for Generating and Testing Lognormal Pseudorandom Numbers;
对数正态分布伪随机数的产生与检验
13.
The confidence interval of quantile Xp for normal distribution
GB/T10094-1988正态分布分位数Xp置信区间
14.
The mean of a normally distributed population lies at the center of its normal curve.
正态分布总体的平均数在正态曲线的中心。
15.
To define a particular normal probability distribution, we need only two parameters: the mean(μ)and the standard deviation(θ).
确定一个具体的正态概率分布，只需要两个参数：平均数μ和标准差θ．
16.
Sufficent and Necessary Conditions for the Multivariate Exponential Family Distribution to Become the Maltivariale Normal Distribution;
多元指数族分布成为多元正态分布的充要条件
17.
Upper confidence limits of coefficient of variation for normal distribution
GB/T11791-1989正态分布变差系数置信上限
18.
is the value for which you want the distribution
用于计算正态分布函数值的区间点。