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Ramadan Hamed

Researcher at Cairo University

Publications -  18
Citations -  187

Ramadan Hamed is an academic researcher from Cairo University. The author has contributed to research in topics: Computer science & Goal programming. The author has an hindex of 7, co-authored 11 publications receiving 157 citations. Previous affiliations of Ramadan Hamed include American University in Cairo.

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The Performance of the Multivariate Adaptive Exponentially Weighted Moving Average Control Chart with Estimated Parameters

TL;DR: The simulation results in this paper show that estimating the parameters results in extensively excessive false alarms and as a result a large number of Phase I samples is needed to achieve the desired in-control performance of the MAEWMA chart.
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Inequalities in child mortality in ten major African cities

TL;DR: Considerable inequalities exist in almost all cities but the level of inequalities and their development over time appear to differ across cities, implying that inequalities are amenable to policy interventions and that it is worth investigating why inequalities are higher in one city than in another.
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Using Meta-goal Programming for a New Human Development Indicator with Distinguishable Country Ranks

TL;DR: Results prove two additional benefits of the MGP-BoD over older BoD, which enhances BoD discriminating power by eliminating all ties in CI values and, hence, country ranks and makes weights more insightful, interpretable, comparable to weights from other weighting systems, and easier to interpret compared to BoD.
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Using GIS in constructing area-based physical deprivation index in Cairo Governorate, Egypt

TL;DR: In this paper, an overview of slum challenge in Cairo governorate, Egypt is provided, and a physical deprivation index that allows the ranking of small geographic areas accordingly to their levels of physical deprivation is constructed.
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Optimal design of the adaptive exponentially weighted moving average control chart over a range of mean shifts

TL;DR: The results show that the new optimization design can improve the performance of the AEWMA control chart from an overall point of view relative to the various designs presented by Cappizzi and Masarotto (2003).