Comparison of the truncated power law <i>p</i>(<i>x</i>) ∼<i>x</i><sup>−<i>α</i></sup> <i>e</i><sup>−λ<i>x</i></sup> to other heavy-tailed candidate distributions in fitting empirical distribution of spacers.
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Positive Loglikelihood ratios indicate that the Truncated Power Law fits the empirical data better than the candidate distribution function.
创建时间：
2021-03-26
