Inevitably those who resist tackling climate change point to the global nature of emissions as a reason not to act.
不可避免的是，那些反对阻止气候变化的人会把碳排放的全球性当为无所作为的理由。
Auto setting of open height and speed change point for each bend.
上刀模开距及慢速点距离均由电脑自动设定。
In this paper, we study the nonparametric statistical inference for one distribution change point.
本文研究了连续分布函数变点的非参数统计推断问题。
In order to develop ITS, a statistical method of change point to analyze traffic flow breakdown is established in this paper.
针对ITS的开发，建立了分析交通流突变的变点统计方法。
The computational software is developed, which is based on the test of even change point, homotopy continuation algorithm and the iterative method.
基于上述研究，论文还研制了均值变点检验、同伦延拓法及迭代法的计算软件。
For the purpose of monitoring the business operations support system, This paper applied the control charts and change point detection to detect abnormal data.
为实现对数据业务支撑系统的有效监控，通过剖析数据业务特点，提出了用控制图和变点监测发现数据业务中存在的异常。
We estimated the time at which the rate of decline begins to accelerate (the change point), and the pre - and post-acceleration rates of decline, from the longitudinal data using a change point model.
利用改变点模型从纵向数据中找出加速点、前加速期下降速率和后加速期下降速率。
Change point theory is aimed to solve some problems of nonlinear data processing by way of statistics.
变点分析理论旨在用统计学的方法解决非线性数据处理的有关问题。
Our analysis suggests that if a change-point exists in a testing process, it should be considered in creating a software reliability estimation model.
分析表明如果在一测试过程中存在一个或多个变点，那么变点是应该在创建一个软件可靠性估计模型时考虑进去的。
The change-point analysis in financial time series has been regarded as one of the core areas of research in statistics.
金融时间序列模型的变点分析是一类重要的统计问题，它引起众多学者的关注。
To construct confidence interval, the limiting distribution of change-point estimator is obtained.
为构造变点的置信区间给出了变点的极限分布。
Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.
该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。
Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.
该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。
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