Monitoring workplace safety: Nonlinear optimization in a statistical model

Statistical Monitoring of Rare Events in Healthcare

  There are miscellaneous quality characteristics in healthcare which are interested to be monitored. However, monitoring each characteristic needs a special statistical method. There are some characteristics with very small incidence rates that it’s usually considered not to be necessary to monitoring them, since their incidence rates are so small that p and np charts are not able to monitor t...

Redefining Workplace Safety and Health

Redefining Workplace Safety and Health

A statistical perspective on nonlinear model reduction

This paper considers the advantages of statistically motivated reasoning in analyzing the nonlinear model reduction problem. By adopting an information-theoretic analysis, we argue that the general analog macromodeling is tractable on average by nonlinear reduction methods. We provide examples to illustrate the importance of utilizing prior information, and provide a general outline of algorith...

Occupational Safety Surveillance Using a Statistical Monitoring Approach

When unsafe conditions arise in a workplace, they may result in employee accidents and fatalities. However, if these problems are detected early, new hazard controls and safety initiatives can be introduced in order to actively reduce or prevent the occurrence of these events. Unfortunately, many safety systems currently monitor and report data that has been aggregated over long time periods, m...