...的极限条件为： 2．2．4G．O模型 ∑（／-1）x，∑‘ 』生———一＞』生一 窆（f—1） 玎 t＝l （2—36） 非齐次泊松过程（NHPP）作为一种重要的随机过程，最初应用到可靠性研究 是在分析硬件系统的失效规律，并且效果很好。
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This paper uses the method of hypothesis test to authenticate users online and offline meets non-homogeneous Poisson process, using the actual data.
本文通过对实际数据使用假设检验的方法来证实了用户上下线确实符合非齐次泊松过程。
参考来源 - 网络用户行为分析的若干问题研究·2,447,543篇论文数据，部分数据来源于NoteExpress
非齐次泊松过程类软件可靠性增长模型是评价软件产品可靠性指标的有效工具。
Software reliability growth models (SRGMs) based on the non-homogeneous Poisson process (NHPP) are quite successful tools that have been proposed to assess the reliability of software.
文中提出了一种随机过程类非齐次泊松过程中的考虑故障相关性、测试环境和运行环境差别的模型。
This paper proposes a software reliability growth model that consider software failure dependency and differences of testing and operational environment.
本文在分析系统的磨损时，综合考虑了到达过程为非齐次泊松过程的随机冲击磨损和连续累积的常规磨损。
This thesis considers the wear-out process of the system as the sum of an additive compound nonhomogeneous poisson shock wear-out and a continuous routine wear-out in time t.
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