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1)  mixed Beta distribution
混合贝塔分布
1.
In order to avoid that a small amount of field test information would be obliterated by a large amount of prior information,a Bayesian method with mixed Beta distribution was used.
为避免少量的现场试验信息被大量的先验信息淹没,使用了以混合贝塔分布为先验分布的贝叶斯方法。
2)  beta distribution
贝塔分布
1.
Making full use of knowledge in manufacturing tolerance analysis combined with the beta distribution model is introduced and applied.
所用分析方法充分利用制造环境知识 ,把贝塔分布应用于公差设计 。
2.
Considering the step by step improvement in the related knowledge and information, a dynamic and recurring method is advocated of assessing the containment with Bayes theorem and the solution is obtained to the problem in its practical application: how to set forth a prior Beta distribution.
解决了贝叶斯方法实用中难题:如何简易地确定先验的贝塔分布。
3.
The 8087 s instructions are estimated with beta distribution and normal distribution separately, the whole program s execution time is approximated with normal distribution after adding instruction.
分别用贝塔分布和正态分布模拟8087指令的运行时间,进行指令叠加后用正态分布模拟整个程序的运行时间;实验结果表明,基于分布函数的程序执行时间预估方法是可行的;最后对估计出来的时间区间作了调整。
3)  Poisson-Mixed Gumbel distribution
泊松-混合冈贝尔分布
1.
On the basis of hindcasting data, a bivariate Poisson-Mixed Gumbel distribution is proposed tocalculate the joint probability of extreme wind speed and wave height simultaneously occurred during thestorm processes.
本文以我国渤海某区风暴过程的后报资料为基础,考虑风暴发生频次的影响,将二维的泊松-混合冈贝尔分布用于风暴过程中同时出现的风速与波高的联合概率计算,比较了多种统计模式所求得的环境条件设计参数,对我国边际油田开发的环境荷载标准给出建议,供相关部门参考。
4)  Beta distribution approximation
贝塔分布近似
1.
Beta distribution approximation of confidence distributions and application in reliability statistics;
置信分布的贝塔分布近似及其在可靠性统计中的应用
5)  Beta-exponential distribution
贝塔指数分布
1.
When prior distribution of failure-rate is in form of Beta-exponential distribution,and the super-parameters are in form of uniform distribution,we get Hierarchical Bayesian Estimation of failure probability.
本文讨论了指数分布无失效数据的失效率的先验分布为贝塔指数分布时,超参数服从均匀分布的条件下,失效率的多层Bayes估计,并给出了可靠度的估计,最后结合实际问题进行了计算。
2.
In this paper,when prior distribution of failure-rate is in form of Beta-exponential distribution,the Bayesian and Hierarchical Bayesian Estimation of zero-failure data.
本文讨论了指数分布无失效数据的失效率的先验分布为贝塔指数分布时,失效率的Bayes估计及多层Bayes估计,并给出了可靠度的估计,最后结合实际问题进行了计算,说明了估计的有效性。
6)  Beta-binomial distribution
贝塔-二项分布
补充资料:贝塔
1.佛塔。
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