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Social responsibility and obstacles application (Comparative research departments in the Municipality of Baghdad)
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Abstract

The research aims to identify the extent of the practice of social responsibility in accordance with the social dimension and diagnosis of constraints applied.

Find the problem represented by the Social Responsibility and obstacles facing application in Baghdad Municipality through their workers trends analysis.

The adoption of the statistical method to analyze the data and information gathering, and selected municipalities of Adhamiya and Kadhimiya deliberate manner applied as a state and municipal councils of both cities as representatives of the local community to be the subject of research and comparison between them to see the reality of social responsibility and the factors that hinder the application.

To achieve the objectives of the research is designed questionnaire as a key tool in the initial data collection, and applied to the sample deliberate consisting of (91) as an associate level, Head of the Department / Division, local community and the researchers using descriptive analytical method; and used the Statistical Package for Social Sciences (SPSS.16( analysis questionnaire data.

The results showed a strong and noticeable focus of the research community in both municipalities according to the social dimension, and the most important obstacles facing the application of social responsibility in the Municipality of Baghdad, is the lack of material support, and the lack of training programs.

And made some recommendations concerning the increase of the degree of interest of employees of responsibility Social which contribute to the strengthening of municipal status, evolution and development of its performance, and the need for senior management in the Municipality of Baghdad to provide financial support.

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Publication Date
Sun Dec 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Use Generalized Pareto Survival Models to Estimation Optimal Survival Time for Myocardial Infarction Patients
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The survival analysis is one of the modern methods of analysis that is based on the fact that the dependent variable represents time until the event concerned in the study. There are many survival models that deal with the impact of explanatory factors on the likelihood of survival, including the models proposed by the world, David Cox, one of the most important and common models of survival, where it consists of two functions, one of which is a parametric function that does not depend on the survival time and the other a nonparametric function that depends on times of survival, which the Cox model is defined as a semi parametric model, The set of parametric models that depend on the time-to-event distribution parameters such as

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