您要查找的是不是：
- 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。
- Keywords The design and theory of machine;Symbol dynamics of unimodal mapping;Symbolic time series analysis;Statistics;Transient exhaust emissions; 机械设计及理论;单峰映射的符号动力学;符号时间序列分析;统计量;瞬态排放;
- symbolic time series analysis 符号时间序列分析
- 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。
- 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。
- 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。
- Yongmiao Hong, Nonlinear Time Series Analysis: Econometric Theory and Applications, 2007(unpublished).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。
- 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。
- Eversince, financial time series analysis is of prevalent interest to theoreticians for making inferences and predictions though it is primarily an empirical discipline. 自从他以后，金融时间序列分析在那些做推论和预测的理论家流行起来，尽管它主要是门经验学科。
- It involves statistics, profiling and pattern recognition, behavioral analysis, time series analysis, predictive modeling, visualization, cause-and-effect studies and more. 它涉及到统计，分析和模式识别，行为分析，时间序列分析，预测建模，可视化，因果的研究等等。
- Quantitative tools for the examination of paleoceanographic data will be introduced (statistics, factor analysis, time series analysis, simple climatology). 另外，将介绍一些分析古海洋资料的定量工具（统计学、因素分析、时间序列分析、简易气候学）。
- The time-space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared. 对比研究了时间序列、空间序列、分形的分析体系，提出了在连续性基础上包容随机性的时空序列分析方法。
