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- peak in time series 时间数列的峰点
- Abstract： This paper reviews some recent development in time seri es spectral analysis,particularly a new generalized spectral method. 摘 要： 综述了时间序列频谱分析;尤其是一种广义频谱方法的新近发展.
- Phillips, P.C.B. and Perron, P. (1988), “Testing for Unit Roots in Time Series Regression,” Biometrika, 75, 335-346. 对单位根检验的意义做了一个很好的概括。
- Tourism is at its peak in August. 旅游业在八月份达到高峰。
- Phillips,P.C.B.and P.Perron.Testing for a Unit Root in Time Series Regression[J].Biometrika,(75): p335-46. 陈磊.;中国转轨时期经济景气的测定和分析[J]
- Phillips, P. and P. Perron, 1988, “Testing for a unit root in time series regression”, Biometrika, 75, pp.335-46. 俞海琴、谢德宗和林师模，1994，“以时间序列频谱分析方法探讨整合与分隔市场理论对台湾股市适用性之研究”，台大管理论丛，5(1)，页113-64。
- R/S series analysis is widely used as measures for long memory study in time series. 摘要针对上海和深圳的日收益序列，采用重标级差（R/S分析）对其进行了实证研究。
- This paper proposes a new algorithm for mining frequent subsequence in time series based on symbolic representation. 提出一种新的基于符号化表示的时间序列频繁子序列的挖掘算法。
- We're just in time to catch the train. 我们正好赶上了火车。
- In this paper, the Multivariate Autoregressive Model( MARM) in time series is applied to set up the movement state of naval vessel . 可从时域的角度,采用时间序列中多维自回归模型实现对舰船运动姿态的辨识。
- Least square method is adopted in regression analysis, AR(n) model in time series analysis and GM(1,1) model in grey system prediction. 时间序列分析主要采用了自回归模型AR(n)：在灰色预测分析中采用了工程中最常用的GM(1，1)模型。
- A peak in the Himalayas was named after me. 喜马拉雅山脉的一个顶峰是以我的名字命名的。
- This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR(1) model in time series. 本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
- He brake his car just in time to avoid an accident. 他及时煞车，避免了一次事故。
- The share reach their peak in january. 股票价于一月份达到最高峰.
- I'd hope that he'll arrive in time. 我希望他会按时到达。
- What's the highest peak in New Zealand? 新西兰最高的山峰是什么?
- She'd be in time if she got the nine o'clock bus. 如果她赶上九点钟的汽车，她就会及时到达。
- Itinerant ranching reached its peak in the 1880s. 1880年代,巡回大牧场达到了顶峰。
- The paper showed the main achievements of the application of abnormal recognition methods in time series of geomagnetic dynamic observation in Almaty experimental field. 摘要阐述了阿拉木图预报试验场地磁动态观测时间序列中异常识别方法应用的主要成果。
