Comparison of the truncated power law p(x) ∼x−α e−λx to other heavy-tailed candidate distributions in fitting empirical distribution of spacers.
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https://figshare.com/articles/dataset/Comparison_of_the_truncated_power_law_i_p_i_i_x_i_i_x_i_sup_i_i_sup_i_e_i_sup_i_x_i_sup_to_other_heavy-tailed_candidate_distributions_in_fitting_empirical_distribution_of_spacers_/14325031
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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
