CEIC中国数据库是业内领先的时间序列经济数据库，数据内容包括全国性的宏观经济数据、地区经济数据、行业经济数据及专题数据。
The CEIC China Premium Database is the recognized leader for China's economic data, with unrivalled breadth and depth of national, regional and industry time series.
通过连接这些塔楼，形成了一个序列的空间。也连接而成一个理想的经济的连续购物路线。
By connecting these towers a sequence of voids is created, connected to the desired economical continuous route of shopping.
时间序列的预测在经济和工程领域具有十分重要的意义。
The prediction of time series is very important in the economic and engineering fields.
线性增长型模型被广泛应用于经济领域和对生物信号的时间序列的分析和预报。
Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.
时间序列的波动持续性建模理论和方法是经济金融领域风险分析的一种强有力的工具。
The theory and method of modeling volatility persistence of time series is a powerful tool in analyzing the risk of economic and finance market.
趋势是经济时间序列最主要的特征之一。
Trend is one of the most important characters of economic time series.
经济过程中的结构突变，对非平稳时间序列的分析具有非常重要的影响。
The structure mutation during the economic process has very important influence on the analysis of non-smoothed time series.
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.
在按照这种继起方式建立起来的逻辑序列中，商品则被定义为资本的产物，因而是在历史上更加靠后的、在逻辑上更加具体的经济现象。
In the logical sequence established accordingly, the commodity is defined as the product of capital, and thus is historically far behind and logically the more concrete economic phenomenon.
时间序列ar (P)自回归模型多应用于经济预测领域，工程技术界多数人对此不太热悉。
The time series ar (p) self-regression model is widely applied to prediction in economic field. Most of researchers and technicians in engineering are not familiar with it.
波动持续性是广泛存在于经济和金融时间序列的一类普遍现象。
Volatility persistence, which have been found in many of time series of economic and finance, indicates that the risk is dependent each other.
而金融数据中的非线性问题和金融时间序列分析中的非线性经济计量模型又是这个领域中全新的研究课题。
But nonlinear problem in financial data and nonlinear economic metric model in financial time series is an all new research topic in this realm.
并对波动幅度较大的经济序列进行预测，表明该方法可以有效地提高预测精度。
According to the properties of model in grey forecasting theory, bi-auto-seeking-weight method was proposed and applied to forecast the economic sequences which rise and fall by a wide margin.
时间序列数据就是按时间先后顺序排列各个观测记录的数据集，广泛存在于社会、经济、技术等领域中。
Time series data is the data set that arranges every one according to the time, and it USES social, economic and technologic fields widely.
而不显著的国内资本形成效应、制度变迁效应以及一些其他外部效应，则构成了FDI对我国经济增长的第三序列。
And the capital accumulation effect along with some other outside effect, such as system innovation effect and effects of employment, which build the third grade of FDI's economic growth.
近年来，随着社会各领域相互渗透和影响，导致自然、社会经济领域的多因素时间序列的维数激增。
In recent years, with the mutual penetration and influence in all spheres of the society, leading to the dimension of multifactor time series is increasing fiercely.
大多数的经济时间序列存在着惯性，或者说具有迟缓型。
The time series of great majority economy is having inertia, in other words, having the tardiness.
要修复人类生存的完整性，就必须改变单一经济目标，修复歪曲的价值等级序列，寻求经济的合理形态以及技术的生态化。
Repairing the integrity of human survive must change the single economy goal, repairing the rank sequence of value, seeking the reasonable shape of economy as well as the ecology of.
将GDP年度序列数据中的周期趋势分离出来，不仅是一个统计技术问题，更是一个研究经济运行规律的方法问题。
To separate cyclical trends from annual series data of GDP is not only a statistical technical problem but also related to methods to research economic operation laws.
单位根检验是计量经济学中检验时间序列数据平稳性的最重要工具，而协整检验则是用来判断非平稳变量之间是否存在长期均衡关系的常用方法。
As an important tool of testing time series stationarity, unit root test is always used, and cointegration test is also often implied for judging long equilibrium between nonstationary variables.
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.
在经济领域中，运用时间序列模型来进行客观经济过程的描述和预测是一个非常重要的方法。
In economic field, the time series models are important methods in describing and forecasting the objective economic process.
对于技术效率偏低的原因分析，本文选择了经济增长与能源产量两组时间序列进行计量分析来验证是否一定存在着某种相关性与均衡关系和因果关系。
The paper chooses the year time sequence between the Energy Source yield and the economic growth in order to validate the equilibrium and the cause and effect correlations between them.
对时间序列提出半相依自回归模型的概念，并将其应用于我国通货膨胀与对外经济的预测。
The idea of seemingly unrelated autoregression model for time series was developed and applied to forecasts of Chinese inflation and foreign economy.
同时由于时间序列的非线性，常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
多方程时间序列分析是时间序列分析的重要组成部分，它在宏观经济研究领域有着广泛的应用，越来越受到世界各国的关注。
The time series analysis with multiple equations is an important part of time series analysis, which is widely applied in the field of macro-economics and draws more and more attention in the world.
本文应用现代时间序列计量经济学技术，结合中国1979-2000年间的有关数据，进行了费雪效应在中国的实证研究。经验证据表明在这一时期同时存在长期和短期费雪效应。
This paper makes an empirical research on the Fisher effect in China by means of the moden time series techniques plus the relevant statistics from China over the years from 1979 to 2000.
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。
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。
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.
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