地图之光组织也采取类似的时间序列研究途径，利用地图呈现出资金对于美国国会投票的影响情况。
MAPlight used a similar time-lapse approach to show the influence of money on congressional votes.
以兰州市区域气象观测网数据为主要的时间序列研究对象，对乡镇精细化气温预报进行了仿真实现。
Lanzhou regional meteorological observation network data is the research object of this text, author the realisation of village and township refined temperature forecast simulation system is given.
（in Chinese） 宋桂香，江莉莉，陈国海，等。上海市大气气态污染物与居民每日死亡关系的时间序列研究[J]。环境与健康杂志，2006，23（5）：390-393。
Song GX, Jiang LL, Chen GH, et al. A time-series study on the relationship between gaseous air pollutants and daily mortality in Shanghai [J]. Journal of Environment and Health, 2006,23(5):390-393.
该团队还设置将研究哪个时间段的序列，指定仅考虑在一个为期两天的期限内发生的事件。
The team also set the time period for which the sequences were to be studied, specifying that only events occurring in a two-day timeframe were to be considered.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
在深入研究混沌时间序列局域预测方法的基础上，提出了一种加权局域基函数预测方法。
The prediction method of weight local basis function is presented based on the deep research on local prediction for chaotic time series.
经研究得出，原观测场时间序列的这两个统计场间存在本质差异。
However, this paper pointed out that there are intrinsic differences between the two statistical fields of the time series of original observations fields.
近期在周期性时间序列资料分群研究上有越来越广泛的趋势。
In the near future at clustering periodic time series data study up have more and more extensive trend.
提出了一种新的概率函数计算方法，用于研究金融时间序列在方差波动方面的多重分形特征。
A new probabilistic function for studying the multi-fractal features on the volatility of variance of financial time series is proposed.
一些研究认为，原观测场时间序列的第一特征向量场与时间平均场表现出强相似。
Some studies holded that the first eigenvector field of the time series of original observations fields usually shows a striking similarity to the time averaged field.
目的以门诊量资料为例，计算功率谱密度函数，研究时间序列信号的频率域特征。
Objective The power spectral density functions of outpatient flow are calculated in order to study the spectral characteristics of the given time series.
混沌经济时间序列的预测方法研究是混沌经济非线性动力系统的重要内容。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
对同样的数据进行BDS分析，研究了经济时间序列的随机特性。
By analysing the same data with BDS Statistic, I take the research of random characteristic in economic time series.
针对其时间序列的特点，研究了ARIMA的不同模式，提出了面向特定市场的ARIMA模型，及其预测和估计方法。
Aim at the trait of time series, investigate the different ARIMA patterns, put forward the ARIMA model and forecast and estimate aim at special market.
本文主要利用金融时间序列arch模型研究国内外期铜市场的波动性及持续性。
This paper is aiming at study the volatility and durative of the local and oversea copper futures market by the time series ARCH model.
本文主要研究非线性动力学方法在时间序列分析中的应用。
This paper focuses on the application of nonlinear dynamical methods in the analysis of time series.
可以用来研究时间序列的非线性工具有许多种，而其中非线性动力学方法则是近年来兴起的一个重要分支。
There are many branches in the field of time series analysis using nonlinear tools, and nonlinear dynamical methods is one of them that springs up in these years.
马尔可夫切换模型是一种研究时间序列结构性变化的方法。
Markov-switching model is a method applied to investigating the structural changes of time series.
方法：采用黄瓜霜霉病病情指数时间序列从方法学的角度进行预测方法研究。
Methods Using the time series analysis of cucumber downy mildew disease, to explore the forecasting method from the Angle of methodology.
赫斯特指数的计算过程需要对研究的时间序列数据进行分组，而不同的分组情况对赫斯特指数会产生不同的影响。
The calculation process of Hurst index needs to group the data of time sequence. And different grouping situations have different influences on the Hurst index.
这表明本算法的研究可为时间序列的分析提供一个崭新而有力的工具。
This shows that the HEMA has great potential to provide a new and powerful tool for the analysis of time series.
研究了基于时间序列方法的国税月度收入预测。
The monthly central tax revenues forecasting is considered based on time series method.
投影定理在平稳时间序列的预报及函数逼近研究中起着重要的作用。
Theorem of projection is more important in the study of prediction of stationary discrete-time sequence and function approximating.
根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。
According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.
目前，国内外学者和研究人员采用不同的方法围绕时间序列相似性的研究已取得了一定的成果，并在股票等领域有了一定的应用。
Many different methods and techniques about time series similarity search have been proposed and successful applications have been made in some fields, such as stock analysis.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
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