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Effect the Natural Lighting In The Visual Comfort & Workers Satisfaction in Industrial Companies
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Energy crisis and the requirements of health and feel good, all this renewed attention to the importance of natural lighting in all kinds of factories.
    Research problem was how to achieve the plant's own natural outlets visual comfort and satisfaction of workers in
Companies, the industries of cotton and general al-fedaa.

     The research compuns address the impact of daylight to provide visual comfort in the factory. Indeed, the light must be treated very carefully, and natural lighting should be thinking from the perspective of the occupants of the plant and not wishing to view from the outside, but enjoy the comfort inside the plant. The research aims to study the current distribution and the effect of natural light inside the plant, and methods of control of the radiation force from which, using modern technology to gain access to better distribution of regular and homogeneous spaces for work. Also been studied aspects of the physiological and psychological to users of spaces industrialized after achieving visual comfort and to clarify what leaves the natural light from the effects of work and production rates and prolonging the stay of workers in the spaces of work, as the area of ​​research, and to determine the level of the current lighting and determine the gap, and proposed solutions to companies in the provision of work environment is stressful to the eye. To reach the objectives of the Research, we used a number of tools for data collection and analysis, such as, a list of screening, field observations, a simple off linear regression. And has proven results on the level of the practical side (the two companies acceptable level of satisfaction and comfort to their employees and do not affect natural lighting significantly in visual comfort and satisfaction for staff.) is designed to plant a small horizontal side vents Large, high-holes with a ceiling lighting (North) using the program 3dmax)), to achieve the best suitable design for the convenience of working in the factory. After analysis found that this design is the space appropriate in terms of the impact of ports natural lighting in visual comfort and satisfaction of employees as well as in terms of health, psychological, where it is this determination to bring the balance of light comfortable vision at work sites, and works to remove the cases to influence negative light Kalabhar uncomfortable The luminance and sunspots and improves the performance of employees. Find out the conclusions of the intellectual and practical diagnosis we find that reality of natural lighting in the ports of two companies revealed the existence of a gap ports, natural lighting and the current low rates to achieve the requirements of comfort and satisfaction for their employees. Recommended the adoption of research results of the evaluation checklist and the adoption of the proposed design to determine and to achieve continuous improvement of the quality of the work environment and that are reflected on the efficiency of performance.

 

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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
ESTIMATION OF COEFFICIENTS AND SCALE PARAMETER FOR LINEAR (TYPE 1) EXTREME VALUE REGRESSION MODEL FOR LARGEST VALUES WITH APPLICATIONS
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In this paper we estimate the coefficients and scale parameter in linear regression model depending on the residuals are of type 1 of extreme  value distribution for the largest values . This can be regard as an improvement for the studies with the smallest values . We study two estimation methods ( OLS  & MLE ) where we resort to Newton – Raphson (NR) and Fisher Scoring methods to get MLE estimate because the difficulty of using the usual approach with MLE . The relative efficiency criterion is considered beside to the statistical inference procedures for the extreme value regression model of type 1 for largest values . Confidence interval , hypothesis testing for both scale parameter and regression coefficients

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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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Publication Date
Wed Jun 30 2021
Journal Name
Iraqi Journal Of Market Research And Consumer Protection
BANKING COMPLIANCE FUNCTION(COMPARATIVE STUDY BETWEEN COMMERCIAL & ISLAMIC BANKS): BANKING COMPLIANCE FUNCTION(COMPARATIVE STUDY BETWEEN COMMERCIAL & ISLAMIC BANKS)
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Never the less, banking compliance function became one of the most important functions in banking sector according to its characteristics that considered as an interior control tools to control (executive management, departments, subsidiaries…etc) in any bank; and their compliance towards applying rules, recommendations and legislations. In addition to, estimating the risks and limited them; and controlling the anti-money laundering. Thus, these functions that covered the main concept of (Banking Compliance) would avoid the bank to be under the control of any sanctions.

 

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Publication Date
Wed Aug 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
Comparing parameters and Reliability of two-parameters exponential
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One of the most important problems in the statistical inference is estimating parameters and Reliability parameter and also interval estimation , and testing hypothesis . estimating two parameters of exponential distribution and also reliability parameter in a stress-strength model.

This parameter deals with estimating the scale parameter and the Location parameter µ , of two exponential distribution   ,using moments estimator and maximum likelihood estimator , also we estimate the parameter R=pr(x>y), where x,y are two- parameter independent exponential random variables .

Statistical properties of this distribution and its properti

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