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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. 针对原料场圆盘配料系统下料量检测滞后和料量随堆料机进退变化较大的特点,应用时间序列分析方法建立了基于AR模型的圆盘下料量预测模型。
Time Series Analysis Hamilton J.D. 时间序列分析。
Nonlinear time series analysis is applied in analyzing heart sounds for acquiring hemodynamic character of partly or completely occluded coronary artery. 本文通过非线性时间序列分析的方法来分析心音时间序列,获得有关冠状动脉阻塞的血液动力学特征信息。
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Yongmiao Hong, Nonlinear Time Series Analysis: Econometric Theory and Applications, 2007(unpublished).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。
This review summarizes the research status and the methods of applying time series to study the chaotic characteristic and evaluate the research direction. 本文对它的研究现状以及利用时间序列研究混沌特征的方法进行了概述,提出了今后的研究方向。
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。