Special Issue on Statistical Accident Modelling Techniques

Submission Deadline: Apr. 20, 2016

Please click the link to know more about Manuscript Preparation: http://www.ajtas.org/submission

  • 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
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
  • 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

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajtas.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.