TIME-SERIES ANALYSIS OF INDUSTRIAL ACCIDENT DATA

被引：9
|
作者：
FREIVALDS, A
JOHNSON, AB
机构：
[1] Department of Industrial and Management System Engineering, The Pennsylvania State University, University Park
来源：
JOURNAL OF OCCUPATIONAL ACCIDENTS | 1990年 / 13卷 / 03期
关键词：
D O I：
10.1016/0376-6349(90)90020-V
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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. © 1990.
引用
收藏
页码：179 / 193
页数：15
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