1.
Selecting the Subset of Distribution in the Prior Distribution Through Use of ε-contamination Class;
ε-代换类先验分布族中分布集的选择
2.
The Fusion Method for Prior Distribution in Multi-sources of Prior Information
多源验前信息下先验分布的融合方法
3.
A Study of Determining the Prior Distribution Based On the Rule of Maximum Entropy;
基于极大熵准则的先验分布确定方法
4.
For Bayesian Robustness Analysis, in the Prior Distribution is Through Use of ε-contamination Class;
ε-代换类先验分布族的贝叶斯稳健性分析
5.
The design of bayesian classification and discrimination method among several populations based on diffuse prior distribution;
扩散先验分布下Bayes多总体分类判别方法的构造
6.
SEVERAL SORTS OF STOCHASTIC LINEAR PROGRAMMING AND ESTIMATION OF PRIOR DISTRIBUTION
几类随机线性规划模型及其先验分布的估计
7.
Research into method selection of Bayesian Prior distribution;
贝叶斯统计学中先验分布的选择方法新探
8.
Bayesian Method Based on Uniform Prior Distribution for Assessing Gunshot;
基于均匀先验分布武器射程评定的Bayes方法
9.
Bayes VAR(p) Projecting Model Based on Minnesota Conjugate Prior Distribution;
基于Minnesota共轭先验分布的贝叶斯VAR(p)预测模型
10.
Random Weighting Bayes Method to Determine the Prior-information Distribution of Rockmass Mechanical Parameters
确定岩体力学参数先验分布的随机加权Bayes方法
11.
A Priori Distribution Selection Based on Bayesian Decision-Making
基于贝叶斯决策的先验分布的选取方法
12.
Multi-stage Reliability-Growth Bayes Analysis for Exponential Product Based on New Dirichlet Prior Distribution
基于新Dirichlet先验分布的指数寿命型产品多阶段可靠性增长Bayes分析
13.
Use of Structure Methods of Prior Distribution in Reliability Zero failure Data
先验分布的构造方法在无失效数据可靠性中的应用
14.
In this paper, use of structure methods of prior distribution method of decreasing function and method of increasing function in reliability of zero failure data.
本文给出了先验分布的构造方法——减函数法和增函数法在无失效数据可靠性中的应用。
15.
section pre equating
分测验预先等化 分测验预先等化
16.
Our company has advanced coating machines, the cutting machine of the automated, make the apparatus of glue, apparatus of experiment; analyze that tests the means is complete, quality is guaranteed.
本公司拥有先进的涂布机，电脑分切机，制胶设备，实验器材；分析测试手段完善，质量保证。
17.
Firstly producing many products of Beta random-variables, then analyzing them with numerical value closing in upon and validating the result.
先随机产生大量贝塔分布随机变量的乘积,用数值拟合来分析并验证拟合结果.
18.
Optimal Distributed Decision Fusion with Fuzzy a priori Probabilities and Fuzzy Cost Functions Based on Minimum Bayesian Risk Criterion
先验概率和代价函数均模糊时基于贝叶斯最小风险准则的分布式决策融合