Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 179-193 |
| Number of pages | 15 |
| Journal | Journal of Occupational Accidents |
| Volume | 13 |
| Issue number | 3 |
| DOIs | |
| State | Published - Oct 1990 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Public Health, Environmental and Occupational Health
- Safety Research
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