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injns-1296
Assessment of Premenstrual Syndrome among Working Women in Baghdad City
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Objectives: To assess the premenstrual syndrome among the working women in Baghdad City.
Methodology: A cross-sectional analytic study, using probability sampling cluster (multi-stage) sampling of
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designed and consisted of (4) parts, including demographic, reproductive, menstrual cycle characteristics, and
premeustmual syndrome symptoms. Content validity and reliability of the questionnaire were detemined by
conducting a pilot study. Descriptive and inferential statistical procedures were used to analyze the data.
Results: The results of the study revealed that the age of women ranged between 30-34 years. The highest
percentage of them was college graduates, most of them was unmarried and most of them was with low
socioeconomic status. The majority of the study sample had moderate level of premenstnral syndrome
symptoms. There were no statistically significant differences between premenstrual syndrome symptoms and
demographic, menstrual cycle characteristics and history of premenstrual syndrome, while there were
statistically significant differences between premenstnral syndrome symptoms and reproductive characteristics.
Recommendation: The study recommends to educate women about the premenstrual syndrome symptoms by
health educational program and reactivate women health clinic to deal with menstrual disorders.

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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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