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1)  state probability equation
状态概率方程
1.
The simplifying of state probability equation in queuing models;
排队模型中状态概率方程的简化
2)  equilibrium state probability equation
平衡状态概率方程
3)  status probability
状态概率
1.
The status probability is defined under the process of DCF,the strategic selections(determined by a best-reply rule) of each player at different time periods up to the selections at time serial set S={0,1,…,τ} are summed.
首先用Markov随机过程来描述联盟结构是如何随着时间的变化而变化的,定义了状态概率等概念。
4)  state probability
状态概率
1.
Statistics are grouped,on the basis of which expected Bayesian estimates of state probability are used to establish the forecast model for security investment.
首先进行统计分组,在此基础上应用状态概率的E-Bayes估计建立证券投资的预测模型,最后结合实际问题进行了计算,结果表明本文所提出的方法便于应用。
2.
Using the idea and method of queuing theory, the stochastic inventory model is established presented in form of state probability for one sort of time_effective products, in which the supply intensity is constant but to be determined, the demand intensity is known already, but the demanding amount is stochastic.
状态概率方程组转化为可用数学软件求解的形式并给出了一般的算法,从而在货物需求强度已知的情况下可以得到近似最优的货物补充强度。
5)  probit equation
概率方程
6)  stochastic equation
概率论方程
补充资料:贝蒂-布里奇曼状态方程
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性质:描述实际气体系统处于平衡状态时摩尔体积Vm压力P及温度T之间关系的一种经验方程,具有高度准确性。其表达式为:式中R是气体常数;A、B和a、b、c是可由实验测得的常数,对于不,同种类的气体有不同值。  

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