probit
英[ˈprɒbɪt]
美[ˈprɒbɪt]
双语例句
- 1. Probit analysis was developed by Chester in 1934.
- 概率元分析是由切斯特于1934年提出的。
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- 2. The PROBIT architecture in an SOA world.
- soa世界中的PROBIT体系结构。
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- 3. Implementing the PROBIT architecture with IBM products.
- 使用IBM产品实现PROBIT体系结构。
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- 4. Figure 4 represents the SOA view of the PROBIT architecture.
- 图4表示PROBIT体系结构的soa视图。
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- 5. This high-level architecture forms the basis for the architecture of the PROBIT tool.
- 此高级体系结构形成了PROBIT工具体系结构的基础。
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- 6. The next section describes in more detail the IBM products used to implement the PROBIT architecture.
- 下一个部分将更详细地描述用于实现 PROBIT 体系结构的IBM产品。
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- 7. The connectivity layer mainly highlights a broker component within the context of the PROBIT architecture.
- 在PROBIT体系结构的上下文中，连接层主要突出体现了一个代理组件。
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- 8. Predictive Real-time Business Intelligence Tool (PROBIT) : The architecture and vision of a situational awareness framework.
- 预测性实时业务智能工具(PROBIT)：环境感知性框架的体系结构和远景。
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- 9. The regression analysis showed that there was significantly positive correlation between probit and logarithm of concentrations.
- 回归分析表明，两种离子的概率单位与浓度对数之间存在着极显著的正相关。
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- 10. In addition, PROBIT utilizes the Generalized Publish and Subscribe Services (GPASS) ([1], [2]) to distribute events to event consumers.
- 此外，PROBIT还利用通用发布与订阅服务(GPASS)([1]、[2])将事件分发给事件使用者。
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- 11. Finally, we'll present the NPA use case scenario from the IBM enterprise, and describe a reference implementation using PROBIT to manage the NPA process.
- 最后，我们将介绍来自IBM企业的NPA用例场景，并描述使用PROBIT来管理npa流程的参考实现。
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- 12. We'll then present the architecture of our BEP framework, the Predictive Real-time Operational Business Intelligence Tool (PROBIT), which embodies the vision.
- 然后我们将介绍我们的CEP框架的体系结构，即体现该远景的预测性实时操作业务智能工具(Predictive Real - time Operational Business Intelligence Tool,PROBIT)。
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- 13. There has been four kinds of main early warning models of exchange crisis at present, namely "signal" approach, probit model, cross-county regression model and subjective probability method.
- 目前已经出现了四种主要的外汇危机预警模型，即信号方法、概率单位方法、截面回归方法以及主观概率法。
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- 14. To study influence factors of customer complaint, binary choice Probit model and binary choice Logit model of customer complaint are built, and two numerical examples are given, respectively.
- 对顾客抱怨的影响因素进行研究，分别构建了顾客抱怨的二元选择Logit、Probit模型，并给出了两个实例。
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- 15. To study influence factors of customer complaint, binary choice Probit model and binary choice Logit model of customer complaint are built, and two numerical examples are given, respectively.
- 对顾客抱怨的影响因素进行研究，分别构建了顾客抱怨的二元选择Logit、Probit模型，并给出了两个实例。
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