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。
Making full use of knowledge in manufacturing tolerance analysis combined with the beta distribution model is introduced and applied.
实验结果显示，该算法的性能与贝塔分布随机数两种常用算法的性能非常接近。
The experimental results show that the performance of this method is very close to that of the two common algorithms of Beta variates.
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。
Firstly producing many products of Beta random-variables, then analyzing them with numerical value closing in upon and validating the result.
本文讨论了贝塔分布共轭于二项分布的决策模型下的二行动线性决策问题的抽样信息期望值的计算公式。
In this paper we discuss the counting formula of the expected value of sampling information for linear decision problem on two actions under the Be - b model.
本文讨论了贝塔分布共轭于二项分布的决策模型下的二行动线性决策问题的抽样信息期望值的计算公式。
In this paper we discuss the counting formula of the expected value of sampling information for linear decision problem on two actions under the Be - b model.
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