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Artificial Neural Networks Approach to Time Series Forecasting for Electricity Consumption in Gaza Strip
(الجامعة الإسلامية - غزة, 2013)
This paper introduces two robust forecasting models for efficient forecasting, Artificial Neural Networks (ANNs) approach and Autoregressive Integrated Moving Average (ARIMA) models. ANNs approach to univariate time series ...
Explicit Equations to Determine the Variances of Regression Coefficients of OLS and GLS Estimators In An Auto-Correlated Regression Models
(الجامعة الإسلامية - غزة, 2008)
We have derived explicit equations to determine the variances of the regression coefficients of ordinary least squares (OLS) and generalized least squares (GLS) estimators in regression models containing an auto-correlated ...