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- DNA Series Analysis Method Applied in Study of Financial Data Time Series DNA序列分析法在金融數據時(shí)間序列中的應用
- Time Series Analysis Hamilton J.D. 時(shí)間序列分析。
- Quantitative tools for the examination of paleoceanographic data will be introduced (statistics, factor analysis, time series analysis, simple climatology). 另外，將介紹一些分析古海洋資料的定量工具（統計學(xué)、因素分析、時(shí)間序列分析、簡(jiǎn)易氣候學(xué)）。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生長(cháng)的起伏型時(shí)間序列模擬研究。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具體用到的分析工具有SWOT分析、時(shí)間序列分析方法等等。
- This paper discusses the application of time series analysis method in random road surface description. First, a road surface model of autoregressive is established for measuring data of tank road profile based on the time series analysis. 該文探討時(shí)間序列分析方法在隨機路面描述中的應用，對坦克行駛道路路面的實(shí)際測量值，應用時(shí)間序列分析的方法，建立了一個(gè)自回歸（Autoregressive）模型。
- By dynamic data acquisition system (DDAS) and through time series analysis, the subcooled boiling thermoacoustic effect in two-phase tube is investigated and an AR model is established. 摘要通過(guò)對欠熱沸騰兩相熱聲效應的實(shí)驗研究及聲壓波動(dòng)時(shí)序的動(dòng)態(tài)數據采集，運用時(shí)間序列分析方法進(jìn)行實(shí)驗建模，建立近似AR時(shí)序模型。
- A nonlinear time series analysis method has been used for reconstruction of sea surface temperature (SST) anomalies. 摘要用非線(xiàn)性時(shí)間序列分析方法對海平面溫度距平場(chǎng)進(jìn)行重構。
- Donald B. Percival, Andrew T. Walden, Wavelet Methods for Time Series Analysis, Cambridge, 2000. 張樹(shù)京，齊立心。時(shí)間序列分析簡(jiǎn)明教程，清華大學(xué)出版社，2003
- The authors use the auto-regressive moving average(ARMA) method to simulate the actual API by time series analysis. 采用時(shí)間序列分析方法,對空氣污染指數建立自回歸滑動(dòng)平均模型模擬實(shí)測的空氣污染指數,并對模擬結果進(jìn)行了檢驗。
- Yongmiao Hong, Nonlinear Time Series Analysis: Econometric Theory and Applications, 2007(unpublished). 洪永淼，非線(xiàn)性時(shí)間序列分析：計量理論和方法，2007（未出版）。
- R/S series analysis is widely used as measures for long memory study in time series. 摘要針對上海和深圳的日收益序列，采用重標級差（R/S分析）對其進(jìn)行了實(shí)證研究。
- Traditional linear time series analysis methods have no use to detect thechaotic and fractal behaviors, but nonlinear ones can do the job. 這些特征用傳統的線(xiàn)性時(shí)間序列方法難以檢測,只有用非線(xiàn)性時(shí)間序列分析的方法才能夠揭示出來(lái)。
- Least square method is adopted in regression analysis, AR(n) model in time series analysis and GM(1,1) model in grey system prediction. 時(shí)間序列分析主要采用了自回歸模型AR(n)：在灰色預測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. 余貴坤(1986)，降雨量與深井水位變動(dòng)的關(guān)系研究，臺灣地區地球物理研討會(huì )論文集，第165-174頁(yè)。
- The Support Vector Regression(SVR) is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems. 摘要 用支持向量回歸（SVR）的方法分析和預測時(shí)間序列，可解決復雜非線(xiàn)性系統的建模問(wèn)題。
- Box, G.E. and Jenking, G.M(1976)., "Time Series Analysis: Forecasting and Control", Revised, San Francisco: Holden Day,. 陳昶憲、康村啟、林榮坤(1994)，八掌溪流域洪流量預測，八十三年度農業(yè)工程研討會(huì )，第429-441頁(yè)，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. 自從他以后，金融時(shí)間序列分析在那些做推論和預測的理論家流行起來(lái)，盡管它主要是門(mén)經(jīng)驗學(xué)科。
- It involves statistics, profiling and pattern recognition, behavioral analysis, time series analysis, predictive modeling, visualization, cause-and-effect studies and more. 它涉及到統計，分析和模式識別，行為分析，時(shí)間序列分析，預測建模，可視化，因果的研究等等。
- 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. 對比研究了時(shí)間序列、空間序列、分形的分析體系，提出了在連續性基礎上包容隨機性的時(shí)空序列分析方法。
