• العربية
    • English
  • English 
    • العربية
    • English
  • Login
Home
Publisher PoliciesTerms of InterestHelp Videos
Submit Thesis
IntroductionIUGSpace Policies
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  •   Home
  • Faculty of Economics and Administrative Sciences
  • Staff Publications- Faculty of Economics and Administrative Sciences
  • View Item
  •   Home
  • Faculty of Economics and Administrative Sciences
  • Staff Publications- Faculty of Economics and Administrative Sciences
  • View Item

Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/25741
TitleA comparison of artificial neural network and time series models for forecasting GDP in Palestine
Untitled
Abstract

Time series of quarterly observations on Gross Domestic Product (GDP) is collected and used in this study. Forecasting results of ANNs are compared with those of the Autoregressive Integrated Moving Average (ARIMA) and regression as benchmark methods. Using Root Mean Square Error (RMSE), the empirical results show that ANN performs better than the traditional methods in forecasting GDP.

Authors
Safi, Samir K.
TypeJournal Article
Date2016
Subjects
gdp
forecasting
arima
regression
artificial neural networks
Published inAmerican Journal of Theoretical and Applied Statistics
SeriesVolume: 5, Number: 2
Citation
Item linkItem Link
License
Collections
  • Staff Publications- Faculty of Economics and Administrative Sciences [292]
Files in this item
Safi, Samir K._4.pdf389.7Kb
Thumbnail

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback
 

 

Browse

All of IUGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsSupervisorsThis CollectionBy Issue DateAuthorsTitlesSubjectsSupervisors

My Account

LoginRegister

Statistics

View Usage Statistics

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback