Prediction and Analysis for Chinese Machinery Manufacturing System Based on the ARMA

Article Preview

Abstract:

The mechanical manufacturing is the most important index to measure national economic hard power, this study forecast machinery manufacturing output of china in 2011 by combination time series model ARMA. Meanwhile its influential factors were analyzed through creating structure model, the results of analysis can not only help us to find the best method for transformation and upgrade of machinery manufacturing, but also avoid risk of financial crisis in the present adverse circumstances that RMB was appreciated constantly in our country.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3396-3400

Citation:

Online since:

October 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yuhuan Sun: Application of ARMA model in major events affect,journal of statistics and decision-making, 2006, (7) : 24-261.

Google Scholar

[2] H . Tong: Threshold models in nonlinear time series analysis. New York: Springer-Verlag, (1983).

Google Scholar

[3] H.B. Wang: Nonlinear ARMA models with functional-MA coefficients. J. Time. Sernal, 2008, 29: 1032–1056.

DOI: 10.1111/j.1467-9892.2008.00594.x

Google Scholar

[4] Information on http: /www. stats. gov. cn/tjsj/ndsj.

Google Scholar

[5] Yidan Fai: Data analysis and eviews application,China statistical press, 2002. 106-134.

Google Scholar

[6] J . Liu and Susko E: Strict stationarity and ergodicity of a nonlinear ARMA model. J Applobab, 1992, 29: 363–373.

DOI: 10.1017/s0021900200043114

Google Scholar

[7] S.J. Liu: Theory of bilinear time series models. Com Statistic Theory Methods, 1985, 14: 2549– 2561.

Google Scholar