In order to study further this type of time series, it is necessary to extract deterministic and stochastic components.
为了进一步研究这种类型的时间系列，有必要提取确定性和随机成分。
Under this background, the article USES the Time Series Multiple Linear method to study about the influence factors of housing price in Kunming, which is a very valuable exploration.
在此背景下，论文运用计量经济学中的时间序列的回归分析方法对昆明市住宅市场价格的影响因素进行研究，就是一种很有益的探索。
In the near future at clustering periodic time series data study up have more and more extensive trend.
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。
The case study shows that the time series analysis method is an effective and practical one for groundwater resources evaluation and system management.
实例研究表明，应用时间序列分析法模拟地下水资源系统，进行地下水资源评价和系统管理简单、易行、省时、省力。
The study object of many problems comes down to hydrologic time series in the field of hydrology and water resources.
在水文及水资源领域，很多问题的研究对象都涉及到水文时间序列。
Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series.
混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。
Using high frequency intra - day data, we study the correlations between liquidity and trading activity and their time series property.
本文利用日内交易的高频分时数据，研究了流动性和交易活动之间的相关性和各自的时间序列性质。
Objective The power spectral density functions of outpatient flow are calculated in order to study the spectral characteristics of the given time series.
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。
Test of nonlinearity of time series is very important for nonlinear time series analysis and study of chaotic dynamics.
时间序列的非线性检测对于非线性时间序列分析、混沌特性研究有着重要意义。
We give multifractal detrended fluctuation analysis and Hlder analysis of discrete time series and use them to study the temperature time series fluctuations.
给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法，并用它们研究了气温时间序列。
This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR (1) model in time series.
本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
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 presents the time domain analysis of three orders discrete system by power series, which can study not only the time invariant system, but also the time variant system.
利用幂级数的方法，对三阶线性离散系统进行时域分析，其方法不仅可以研究线性非时变离散系统，而且还可以研究线性时变离散系统。
Results show that wave amplitude series have chaotic characteristic and chaos time series is feasible to be applied in wave forecast study.
结果表明，浪高时间序列存在混沌现象，混沌时间序列法可应用于海浪预报的研究。
In this paper, time series bi-spectrum analysis for fault diagnosis of speed-regulating valve is proposed to study a new fault detection method for the hydraulic system.
研究液压系统的一种新的故障检测方法，利用时间序列双谱分析实现调速阀故障诊断。
The time series of displacement monitoring data obtained in Maoping landslide of Qingjiang are analyzed by using macroscopic study of nonlinear dynamics method.
利用非线性动力学的宏观研究方法对清江库岸茅坪滑坡的位移时间序列进行了分析，发现滑坡系统在演变过程中存在混沌。
Converte the one dimension time series into two dimension spot figure, then study the distribution of the spot around the 360 degree directions, compute the quadrant information entropy.
将一维的表面肌电信号转换为二维的散点图，在这二维的平面空间中研究散点在一周360度的各个方向上的分布情况，提出了象限信息熵的概念。
In this paper, the theory of gray system is adopted to study the time series prediction of the leaching rate of in-situ blasting and leaching ore.
采用灰色系统理论对原地爆破浸出率的时间序列预测问题进行了研究。
The analysis and modeling of the financial time series is a very important study realm in financial metrology.
金融时间序列的分析与建模是金融计量学的一个很重要的研究领域。
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。
Two authors independently extracted data and assessed study limitations. Quantitative re-analysis of time series data was undertaken for studies with sufficient data.
两个作者分别摘录资料、评估研究的限制，如果量性的时间序列分析资料量足够则被纳入。
The destination of this study is to predict the trend of time series.
论文的研究目的是为了对时间序列的发展趋势进行预测。
The paper proposes application of Wavelet Neural Network in high-frequency time series calendar effects' study. At last, the paper proves that WNN is better than classical FFF regression.
提出了用小波神经网络（WNN）来定量研究高频金融时间序列“日历效应”，通过比较发现WNN是比弹性傅立叶形式（FFF）回归技术更具优势的方法。
In this paper the predictability of drillability time series was analyzed using fractal method based on the study of drillability time series characters.
本文从研究可钻性时间序列特征出发，应用分形几何方法，分析了可钻性时序的可预测性。
Using the Houzhai karst watershed in Guizhou Province as an example, a time series analysis method was used to study the hydrodynamic characteristics of the karst aquifer system.
以贵州后寨典型岩溶小流域为例，采用时间序列分析方法分析了岩溶含水系统的水动力特征。
Based on above analysis, this paper integrates the study of data mining and financial time series.
基于上述原因，本文将数据挖掘和金融时间序列结合在一起进行研究。
In contrast, we study the joint time-series of illiquidity for different maturities over an extended time sample.
相比之下，我们所研究的是对于不同期限较长时间的样本，联合时序的非流动性不足。
In contrast, we study the joint time-series of illiquidity for different maturities over an extended time sample.
相比之下，我们所研究的是对于不同期限较长时间的样本，联合时序的非流动性不足。
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