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العربية Atheism A study in the most important foundations of atheism, and the most prominent suspicions of its advocates: دراسة في أهمّ مرتكزاته، وأبرز شبهات دُعاته
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Atheism is one of the most dangerous absurd doctrines that have swept the world in the modern era. Its strength lies in the bodies that stand behind it and adopt its ideologies which are accompanied by the tremendous media momentum of the theses of its supporters based on scientific and non-scientific levels. And since the denial of the existence of the Creator is the main focus and central point which the atheists based their view towards the universe, life and man, this humble research came to discuss the claim of the existence of the world by pure chance, and try to explain this scientifically through the theory of natural selection and survival of the fittest developed by the English biologist Charles Darwin. The research also turned to talk about the contemporary forms of atheism, trying to grasp some of the manifestations of its existence in Islamic societies, while reviewing at the same time its destructive effects on the individual level on the one hand and on the human level as a whole on the other hand. Then the research was concluded by listing some of the most famous suspicions raised by advocates of atheism constantly which are followed by discussion and response to it.

 

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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