Time Series Data Modeling and Application
He Gao (),
Xiao-li Cai () and
Yu Fei ()
Additional contact information
He Gao: Yunnan University
Xiao-li Cai: Zhengzhou Institute of Aeronautical Industry Management
Yu Fei: Yunnan University of Finance and Economics
Chapter Chapter 115 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1095-1101 from Springer
Abstract:
Abstract We presents some commonly used methods to model the nonstationary time series. Based on these methods, we propose a model to study the relationship between the gross exports and gross domestic product (GDP) from 1982 to 2004 in China. The presented model gives a proper illustration on the relationship between gross exports and GDP.
Keywords: GDP; Gross exports; Time series (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38427-1_115
Ordering information: This item can be ordered from
http://www.springer.com/9783642384271
DOI: 10.1007/978-3-642-38427-1_115
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().