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Statistical Accident Modelling Techniques
Submission Deadline: Apr. 20, 2016
Lead Guest Editor
Julius Nyerere
Department of Statistics and Actuarial Sciences, College of Pure and Applied Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
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Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
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Published Papers
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Introduction
Accidents are stochastic events whose occurrence causes damages, loss of property and life. There are many types and causes of accidents that occur daily in our society that are increasing in intensity and destruction. Accidents are usually investigated so as to avoid a future occurrence, in what is referred to as the root cause analysis. Research suggests that accidents are that accidents are the most common causes of physical trauma or injuries leading to hospital care. Understanding the nature of accidents and their contributing factors will go a long way into ensuring that they are mitigated through appropriate measures. The use of robust statistical techniques, can thus help in solving the ever increasing trend of accidents, as this provides the platform for solving the accidents.

Aims and Scope:
Modeling Industrial Accidents
Modelling Road Traffic Accidents
Comparative Analysis of different modelling techniques
Statistical Interpretation of model output results
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