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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 ...
Statistics in Noble Qur'an
(2013)
The Noble Qur'an was revealed in Arabic to Prophet Mohammad, Peace Be Upon Him (PBUH) in 610 CE over 23 years. Recently, the scientific miracles in the Noble Qur'an are the most significant issues which have spread out ...
Statistics from Kumaraswamy Distribution
(2013)
Thc Kumaraswamy distribution is similar to thc Bcta distribution but has thc key advantage of a closed-form cumulative distribution function. In this paper we present the estimation of Kumaraswamy distribution parameters ...
Statistical estimation based on generalized order statistics from Kumaraswamy distribution
(2013)
The Kumaraswamy distribution is similar to the Beta distribution but has the key advantage of a closed-form cumulative distribution function. In this paper we present the estimation of Kumaraswamy distribution parameters ...
Comparative study on forecasting accuracy among moving average models with simulation and PALTEL stock market data in Palestine
(2013)
In this paper, we discuss three analytical time series models for selecting the more effective with an accurate forecasting models, among others. We analytically modify the stochastic realization utilizing (i) k-th moving ...
Generalized order statistics from generalized exponential distributions in explicit forms
(2013)
In the present paper, we study the generalized order statistics from Generalized Exponential Distributions (GED) in explicit forms. We obtain, the joint distribution, distribution of single, and conditional distribution ...