The Application of Fourier Residual Grey Verhulst and Grey Markov Model in Analyzing the Global ICT Development
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
Volume (Year): 2 (2014)
Issue (Month): 1 (March)
|Contact details of provider:|| Postal: |
Web page: http://www.econ.hyperion.ro/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:hyp:journl:v:2:y:2014:i:1:p:50-60. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Iulian Panait)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.