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Quality, nursing service quality, accreditation standards, standards of nursing practice
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Abstract

      health organizations are trying to  introduce  services of high quality and efficiency which requires  applying some standards of nursing career to improve nursing service quality in the hospital, which provides an essential data base key to diagnosis the negative and positive part in nursing services to guarantee the quality of services presented .  The aim of this study is to evaluated the quality of  nursing service through stating the indicators of nursing career standards by comparing the reality of the a hospital with what should standards . In addition , adapting nursing career standards with what is suitable for hospital environment.

      The study has acquired its importance because it handles the reality of daily work of introducing nursing services in the hospital in the light of existing standards, and it provides a data base useful  for hospital daily work to facilitate the process of evaluating the services continuously.

      The statistical methods used in this study are (the percentage, mean, standard deviation ,weighted average.. etc.). through  them, the reality of nursing service in the hospital is diagnosed reaching to number of conclusions,   the most important  of them are , achieving the service quality that all organizations are trying to; today,  The study has reached into a number of recommendations, the most important of them are, to cooperate coordinate with the top  authorities as Ministry of Health, the necessity of dependence quality standards for nursing  service to match with nursing developments ; and to develop the organizational structure of nursing by adding a quality management department  ; forming of a committee for accreditation and quality to enhance nursing field, and evaluating how nursing correspond with the world standard

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Some Estimation methods for the two models SPSEM and SPSAR for spatially dependent data
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ABSTRUCT

In This Paper, some semi- parametric spatial models were estimated, these models are, the semi – parametric spatial error model (SPSEM), which suffer from the problem of spatial errors dependence, and the semi – parametric spatial auto regressive model (SPSAR). Where the method of maximum likelihood was used in estimating the parameter of spatial error          ( λ ) in the model (SPSEM), estimated  the parameter of spatial dependence ( ρ ) in the model ( SPSAR ), and using the non-parametric method in estimating the smoothing function m(x) for these two models, these non-parametric methods are; the local linear estimator (LLE) which require finding the smoo

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