The aim of this research is to identify the impact of the effectiveness of digital transformation technology in improving the efficiency of the insurance service in the public insurance companies in Iraq through digital transformation technology in the insurance process "promotion of the insurance product, submission of insurance application, underwriting, settlement of losses" and to achieve this goal a questionnaire was designed A survey distributed in the surveyed community Which represents the decision makers in the researched companies under study, and one of the most important results of the research was the existence of a relationship between digital transformation and improving the efficiency of the insurance process, whether through promoting the insurance policy, submitting an insurance application, underwriting, or settling compensation. The study recommended the importance of adopting legal legislation related to public insurance companies and developing The infrastructure of information technology and digital transformation, which forms the basis of digital transformation service, and the importance of educating all workers in insurance companies and training them on the use of digital transformation, especially computers, the Internet, software and applications, in line with current developments.
Digital transformation technology in the insurance service in the National Insurance Company and the Iraqi General Insurance Company : applied research
Digital Transformation
Information Technology
Insurance service
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
نماذج البقاء
أنموذج باريتو العام للمخاطرة النسبية
معيار امثل- CB
معيار امثل- AB
التصميم الامثل
مصفوفة المعلومات
طريقة الامكان الاعظم الكاملة.
Survival Models
The Generalized Pareto Proportional Hazards Model
CB- Optimal Criterion
AB- Optimal Criterion
Optimal Design
Information Matrix
Complete Maximum Likelihood Method.
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
... Show More