arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2201.06818physics.soc-ph
收藏

斯诺克统计和齐普夫定律

Snooker Statistics and Zipf's Law

Wim Hordijk

摘要:

齐普夫定律在语言学中是众所周知的:一个词的出现频率与它的等级成反比。这是更一般的幂律的一个特例,而幂律是许多真实世界统计数据中的一种常见现象。在这里,它表明,斯诺克统计也遵循这样的数学模式,但不同的(估计)参数值。两种类型的排名(奖金收入和世纪得分),和三个时间框架(所有时间,十年和一年)被认为是。结果表明,幂律参数值取决于所使用的排序类型以及所考虑的时间范围。此外,在某些情况下,所得到的参数值随时间显著变化,对此提供了合理的解释。

英文摘要:

Zipf's law is well known in linguistics: the frequency of a word is inversely proportional to its rank. This is a special case of a more general power law, a common phenomenon in many kinds of real-world statistical data. Here, it is shown that snooker statistics also follow such a mathematical pattern, but with varying (estimated) parameter values. Two types of rankings (prize money earned and centuries scored), and three time-frames (all-time, decade, and year) are considered. The results indicate that the power law parameter values depend on the type of ranking used as well as the time-frame considered. Furthermore, in some cases the resulting parameter values vary significantly over time, for which a plausible explanation is provided.

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。

↑