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Using ANNs and ARIMA Models to Make Accurate Forecasts for Palestinian Official Statistics Based on Simulation and Empirical Applications

Safi, Samir K. (الجامعة الإسلامية - غزة, 2017)
Accuracy of forecasts of economic indicators is a major concern of statistical and economics departments. Over the past three decades there has been growing literature on applications of artificial neural networks (ANNs) ...
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The efficiency of artificial neural networks for forecasting in the presence of autocorrelated disturbances

White, Alexander; Safi, Samir K. (2016)
We compare three forecasting methods, Artificial Neural Networks (ANNs), Autoregressive Integrated Moving Average (ARIMA) and Regression models. Using computer simulations, the major finding reveals that in the presence ...
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A comparison of artificial neural network and time series models for forecasting GDP in Palestine

Safi, Samir K. (2016)
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 ...

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.

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Author
Safi, Samir K. (3)
White, Alexander (1)Subject
artificial neural networks (3)
arima (2)forecasting (2)regression (2)time series (2)gdp (1)population (1)... View MoreDate Issued2016 (2)2017 (1)

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.

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