2020
DOI: 10.1016/j.physa.2019.123188
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Multiply broken power-law densities as survival functions: An alternative to Pareto and lognormal fits

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Cited by 16 publications
(4 citation statements)
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“…Moreover, is there a distribution that could fit the whole range of the data, and not focus on the upper or lower tail? Recently, papers have also begun exploring alternatives to the power law distribution in many empirical settings and also considering the fit below the upper tail (e.g., the size of cities [43,12,61,53], the size of business firms [62]).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, is there a distribution that could fit the whole range of the data, and not focus on the upper or lower tail? Recently, papers have also begun exploring alternatives to the power law distribution in many empirical settings and also considering the fit below the upper tail (e.g., the size of cities [43,12,61,53], the size of business firms [62]).…”
Section: Introductionmentioning
confidence: 99%
“…The probability distribution of the dwell times is shown in Fig. 4, which shows that the data for short dwell times obey a broken power-law distribution [44], with two power-law segments broken at the point of 24 min. For long dwell times (more than 13 h), the distribution fluctuates greatly with no obvious pattern.…”
Section: Defining Time Thresholdsmentioning
confidence: 97%
“…However, one issue that has been highlighted in the research literature is that it can be difficult to distinguish a power law with the upper tail of other heavy tailed distributions [14,23,4,7,3,5,6,11,25,33]. This means that there could be other distributions that are a plausible fit to the upper tail of the data.…”
Section: The Distributionsmentioning
confidence: 99%