Focusing on the demand of wind turbine aerodynamics and structural analysis, a novel vector autoregressive method for 3-dimmentional wind speed simulation is presented.

The error correction model and vector autoregressive model between the two variables were set up.

Using the weekly data on the SSE(Shanghai Stock Exchange) bond market from 2001-09-01 to 2005-02-28,the expectations hypothesis of the term structure was tested and analyzed with the modern financial econometric methods of regressive analysis,unit root test and vector autoregressive.

Using Vector Auto-regression model and Impulse Response Function,this article investigates the dynamic correlation between development of urbanization and the level of consumption.

By establishing the vector auto-regression time series model,the authors use least square algorithm to estimate the model s parameter matrix and predict the time-varying parameters of a time-varying auto-regression (AR) model.

This paper tests the response of economic growth to the investment since 1978 using vector auto-regression model, and the result shows that investment, during the whole period, has the obvious short effects, and the response elasticity is significantly less than one.

Based on vector autoregression model, this paper uses impulse response function and forecast variance to decompose and depict the dynamic correlation between investment in science and technology and economic growth in agriculture in China.

A method named as vectorization of univariate hourly wind speed time series has been presented for eliminating diurnal nonstationary,and vectorized hourly wind speed was expressed as a vector autoregression(VAR) model.

Then use the Cointegration, Vector Autoregression an Vector Error Correction Model technology to study the inherent relation between the import trade and economic growth from three perspectives---total volume, import structure and import mode.

Based on the theory of co-integration and using the VAR models and the price monthly date of Brent and Daqing crude oil,the paper makes a empirical analysis on the interaction between international and domestic crude oil prices during two time interval respectively from January 1999 to April 2004 and from May 2004 to October 2007.

The present paper deals with the advantage and disadvantage of simultaneous equations model and VAR model and introduces TSSS which has the advantage of the two models.

In this paper,chaotic economics theory and VAR(vector autoregression)are put forward to analyze the causes and trends of deflation in China.

On the foundation of vector auto regression model, this paper applies impulse response function and variance decomposition to make up positive analysis, which refers to economic increase fluctuation in Shandong.

On the foundation of vector auto regression model, this paper applies impulse response function and variance decomposition to make up positive analysis, which refers to economic increase fluctuation in Liaoning macroeconomic system.

Based on stock market segmentation theory and informational economics, we use linear Grangercause test and vector auto regression model to systematically and thoroughly study the feature and rule of trading pricevolume relationship of A, B and H share market.