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Pragmatics of Political Blame in British and Iraqi Parliaments
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This research is a pragmatic study of political blame in British and Iraqi Parliaments. It aims to unfold the similarities and/or differences in terms of the pragmatic and pragma-rhetorical strategies used by British and Iraqi politicians when they exchange blame in both offensive and defensive situations. A statistical analysis is conducted to quantitatively support the findings of the pragmatic analysis. The analyses conducted have yielded different results among blame is a process composed of two stages. Each stage is distinct for its pragmatic components and pragma-rhetorical strategies. British and Iraqi MPs at the blame stage tend to utilize impoliteness as their main strategy. However, British and Iraqi MPs perform differently at the blame avoidance stage in that British MPs employ politeness as their main defense strategy, whereas Iraqi MPs exploit impoliteness. Besides, British and Iraqi MPs at the blame stage tend to violate the maxim of quality by fabricating their statements. At the blame avoidance stage, the maxim of relevance was the most violated one through the strategy of evasion. As for pragma-rhetorical strategies, British and Iraqi politicians at the blame stage exploit the pragma-rhetorical strategy of number-game to support their credibility. At the blame avoidance stage, British politicians primarily utilize hyperbole, whereas Iraqi politicians deploy shifting blame.

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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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