Title :
The distribution feature research of intervals between Colliery accidents
Author :
Chen, Siling ; Wang, Binhui ; Xu, Guangming
Author_Institution :
Dept. of Stat., Jinan Univ., Guangzhou, China
Abstract :
In this paper, a systematic analysis is applied for the intervals between accidents fatalities in the four divisions of the mines of Great Britain in 1950, and expects that it can have a reference effect to the Colliery accident research of China. This paper includes three parts which are data analysis, distribution analysis and bootstrap analysis. The conclusions are as follows: firstly, the vast majority of the four divisions´ intervals are between 0 to 20 days, and they all have right-skewed distributions. Secondly, the data of the four divisions are disobedient normally distribution but division 2, 3, 4 obey index distribution. Thirdly, the analysis results of bootstrap shows that the population´s mean and variance of division 3 is greater than other divisions. It is the safest divisions of the four, but it still should strengthen its security management.
Keywords :
industrial accidents; mining; occupational safety; statistical distributions; Colliery accident; accidents fatality; bootstrap analysis; data analysis; distribution analysis; mines; sample distribution; security management; systematic analysis; Accidents; Biological system modeling; Economics; Educational institutions; Indexes; Presses; Bootstrap; Colliery accident; Intervals; Sample distribution;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057165