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- symbolic series analysis 符号序列分析
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生长的起伏型时间序列模拟研究。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具体用到的分析工具有SWOT分析、时间序列分析方法等等。
- Files can be sorted after the first symbol of their filename, after a containing symbol series, their filetype or their filesize (size interval). 文件可以进行排序后，象征着他们的文件名后，载文号系列，它们的文件类型或其档案大小（尺寸间隔） 。The sub directories could be involved as well.;小组目录可以参与的。
- If modern Chinese symbol series of "noun_1 + noun_2" can form phrase,they will form four structure relations such as modifier-head,combination,apposition and subject-predicate. 现代汉语“名1+名2”语符串如果能构成词组,对应着定中、联合、同位、主谓四种结构关系。
- A nonlinear time series analysis method has been used for reconstruction of sea surface temperature (SST) anomalies. 摘要用非线性时间序列分析方法对海平面温度距平场进行重构。
- Symbolic time series analysis is a method which originating from symbolic dynamic theory and chaos time series analysis and information theory, its essence is symbolizing time series. 符号时间序列分析是从符号动力学理论、混沌时间序列分析和信息理论发展起来的一种分析方法。
- George E.P.Box,Gwilym M.Jenkins,Gregory C.Reinsel.Time Series Analysis Forecasting and Control.Posts&Telecom Press. 陈希孺;方兆本等.;非参数统计
- Donald B. Percival, Andrew T. Walden, Wavelet Methods for Time Series Analysis, Cambridge, 2000. 张树京，齐立心。时间序列分析简明教程，清华大学出版社，2003
- The authors use the auto-regressive moving average(ARMA) method to simulate the actual API by time series analysis. 采用时间序列分析方法,对空气污染指数建立自回归滑动平均模型模拟实测的空气污染指数,并对模拟结果进行了检验。
- A symbolization method transforming the sampling data into symbol series is presented, which implies some information of the expectation and variance. 分析了现有的符号化方法之后，在动态变换方法的基础上，提出了新的符号化方法，并将其成功应用到文中的实例研究中。
- Yongmiao Hong, Nonlinear Time Series Analysis: Econometric Theory and Applications, 2007(unpublished). 洪永淼，非线性时间序列分析：计量理论和方法，2007（未出版）。
- 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。
- Traditional linear time series analysis methods have no use to detect thechaotic and fractal behaviors, but nonlinear ones can do the job. 这些特征用传统的线性时间序列方法难以检测,只有用非线性时间序列分析的方法才能够揭示出来。
- symbolic series of predicate calculus 谓语演算符号系列
- 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。
- Tamura, Y. (1999).Analysis of earth tides data.In Akaike, H. and Kitagawa, G. ed., The practice of time series analysis, 327-339. 余贵坤(1986)，降雨量与深井水位变动的关系研究，台湾地区地球物理研讨会论文集，第165-174页。
- The Support Vector Regression(SVR) is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems. 摘要 用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
- Box, G.E. and Jenking, G.M(1976)., "Time Series Analysis: Forecasting and Control", Revised, San Francisco: Holden Day,. 陈昶宪、康村启、林荣坤(1994)，八掌溪流域洪流量预测，八十三年度农业工程研讨会，第429-441页，高雄。
