The Application of Fourier Residual Grey Verhulst and Grey Markov Model in Analyzing the Global ICT Development
Shaghayegh Kordnoori (),
Hamidreza Mostafaei () and
Shirin Kordnoori ()
Additional contact information
Shaghayegh Kordnoori: Iran Telecommunication Research Center
Hamidreza Mostafaei: Islamic Azad University, Tehran, Iran
Shirin Kordnoori: Islamic Azad University, Tehran, Iran
Hyperion Economic Journal, 2014, vol. 2, issue 1, pages 50-60
Grey theory deals with systems with inadequate, poor and uncertain information. Modeling against insufficient sample and saturated sequence, Grey Verhulst model has its particular perfection. Its modeling process is easy and high prediction accuracy can be achieved. In this paper, the application of a Grey Verhulst model in studying the global ICT development was presented; Moreover a new Grey Verhulst model and Fourier residual Grey Verhulst model were suggested to improve the forecasting accuracy. Data of the world fixed-telephone subscriptions which is one of ICT indicator from 2001 to 2010 were used as a forecasted example. Finally we increased the precision by employing the Grey Markov model which is the mixture of the GM(1,1) and a Markov model
Keywords: Grey Verhulst; Fourier modification; Grey Markov; ICT development (search for similar items in EconPapers)
JEL-codes: C02 C60 (search for similar items in EconPapers)
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:hyp:journl:v:2:y:2014:i:1:p:50-60
Access Statistics for this article
Hyperion Economic Journal is currently edited by Iulian Panait
More articles in Hyperion Economic Journal from Faculty of Economic Sciences, Hyperion University of Bucharest, Romania Hyperion University, Faculty of Economic Sciences, Calea Calarasilor no. 169, district 3, Bucharest, 030615, Romania. Contact information at EDIRC.
Series data maintained by Iulian Panait ().