• We find optimal stopping rules by using the weak infinitesimal generator of markov process.

    利用弱无穷小算子,我们找出了最优停时规则。

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  • This difference was independent of the presence of statistical stopping rules and was greatest in smaller studies.

    这种差异与是否存在试验终止的统计学规则无关,并且在较小的研究中差异更大。

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  • In partioular, the optimal stopping rules of maximizing the probability of employing the best applicant and minimizing expected rank are derived respectively.

    作为特例,分别得到了使选中最好的姑娘的概率最大和使选中的姑娘的绝对名次的数学期望最小的最优停止规则。

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  • At runtime, using the business rules Manager application, you can change, add, or delete business rules without stopping and republishing the client application that USES the business rules.

    在运行时,通过使用BusinessRulesManager应用程序,您可以更改、添加或删除业务规则,而不必停止和重发布使用这些业务规则的客户端应用程序。

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  • At runtime, using the business rules Manager application, you can change, add, or delete business rules without stopping and republishing the client application that USES the business rules.

    在运行时,通过使用BusinessRulesManager应用程序,您可以更改、添加或删除业务规则,而不必停止和重发布使用这些业务规则的客户端应用程序。

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