Time-series analysis of industrial accident data

Andris Freivalds, Alison B. Johnson

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Freivalds, A. and Johnson, A.B., 1990. Time-series analysis of industrial accident data. Journal of Occupational Accidents, 13: 179-193. Considering the cyclical nature of accident and injury data, it is reasonable to consider the use of time-series analysis for modeling these data. One approach involved fitting a Box-Jenkins, auto-regressive, moving-average model to the data and using the model to forecast future values. A second approach utilized sine or cosine models to fit the cyclical pattern. A comparison of the two models, for a set of injury data in a glass manufacturing facility, indicated a clear superiority of the Box-Jenkins approach; not only for fitting a seasonal cycle, but also for accommodating monthly trends.

Original languageEnglish (US)
Pages (from-to)179-193
Number of pages15
JournalJournal of Occupational Accidents
Issue number3
StatePublished - Jan 1 1990

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Safety Research


Dive into the research topics of 'Time-series analysis of industrial accident data'. Together they form a unique fingerprint.

Cite this