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- For the features of disc proportioning system's lag and discharge rate's fluctuation, applying time series analysis, a disc discharge rate prediction model based on AR model was set up. 針對原料場圓盤配料系統下料量檢測滯后和料量隨堆料機進退變化較大的特點,應用時間序列分析方法建立了基於AR模型的圓盤下料量預測模型。
- Time Series Analysis Hamilton J.D. 時間序列分析。
- Nonlinear time series analysis is applied in analyzing heart sounds for acquiring hemodynamic character of partly or completely occluded coronary artery. 本文通過非線性時間序列分析的方法來分析心音時間序列,獲得有關冠狀動脈阻塞的血液動力學特徵信息。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生長的起伏型時間序列模擬研究。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具體用到的分析工具有SWOT分析、時間序列分析方法等等。
- A nonlinear time series analysis method has been used for reconstruction of sea surface temperature (SST) anomalies. 摘要用非線性時間序列分析方法對海平面溫度距平場進行重構。
- Donald B. Percival, Andrew T. Walden, Wavelet Methods for Time Series Analysis, Cambridge, 2000. 張樹京,齊立心。時間序列分析簡明教程,清華大學出版社,2003
- The authors use the auto-regressive moving average(ARMA) method to simulate the actual API by time series analysis. 採用時間序列分析方法,對空氣污染指數建立自回歸滑動平均模型模擬實測的空氣污染指數,並對模擬結果進行了檢驗。
- Yongmiao Hong, Nonlinear Time Series Analysis: Econometric Theory and Applications, 2007(unpublished). 洪永淼,非線性時間序列分析: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,採用重標級差(R/S分析)對其進行了實證研究。
- Traditional linear time series analysis methods have no use to detect thechaotic and fractal behaviors, but nonlinear ones can do the job. 這些特徵用傳統的線性時間序列方法難以檢測,只有用非線性時間序列分析的方法才能夠揭示出來。
- Least square method is adopted in regression analysis, AR(n) model in time series analysis and GM(1,1) model in grey system prediction. 時間序列分析主要採用了自回歸模型AR(n):在灰色預測分析中採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的關係研究,台灣地區地球物理研討會論文集,第165-174頁。
- 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間序列,可解決複雜非線性系統的建模問題。
- This review summarizes the research status and the methods of applying time series to study the chaotic characteristic and evaluate the research direction. 本文對它的研究現狀以及利用時間序列研究混沌特徵的方法進行了概述,提出了今後的研究方向。
- 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,八十三年度農業工程研討會,第429-441頁,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. 自從他以後,金融時間序列分析在那些做推論和預測的理論家流行起來,儘管它主要是門經驗學科。
- 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,時間序列分析,預測建模,可視化,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,將介紹一些分析古海洋資料的定量工具(統計學、因素分析、時間序列分析、簡易氣候學)。
- 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空序列分析方法。