商业航空公司灾难之间时间滞后的时间演变分布
Time-evolving distribution of time lags between commercial airline disasters
摘要：
我们研究了商业航线飞机灾难之间的时间间隔和它们的发生频率，直到2002年，从一个免费提供的网站。我们发现，时滞似乎是很好地描述了泊松随机事件，其中的平均事件率本身是一个函数的时间，即时间依赖的泊松事件。这可能是由于该行业的不稳定增长。时滞分布与截断Tsallis分布进行了比较，从而表明“现象”具有与时间相关的质量的布朗粒子的相似性。我们区分了“其他原因”（或自然原因）和“恐怖主义行为”，后者约占50%，但我们没有发现后者对总体分布的显著差异或影响。
英文摘要：
We have studied the time lags between commercial line airplane disasters and their occurrence frequency till 2002, as obtained from a freely available website. We show that the time lags seem to be well described by Poisson random events, where the average events rate is itself a function of time, i.e. time-dependent Poisson events. This is likely due to the unsteady growth of the industry. The time lag distribution is compared with a truncated Tsallis distribution, thereby showing that the ''phenomenon'' has similarities with a Brownian particle with time dependent mass. We distinguish between ''other causes'' (or natural causes) and ''terrorism acts", the latter amounts to about 5 percents, but we find no drastic difference nor impact due to the latter on the overall distribution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
