Question about p-value

[lymanblue]

I am confused about the meaning of the p-value between the software and the paper.

From the software document, p-value represents significant when p-value < 0.05 (normal usage in statistics)

However, the footnote in the page 17 of the paper "Power Law Distributions in Empirical Data" states that they use p-value as a measure of the hypothesis they are trying to verify.
Hence, high values, not low, are "good".

So, if I use distribution_compare(A, B), and R > 0, p-value > 0.1.
Is A better to fit the data?

Thank you.

[jeffalstott]

Read http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085777#s3 Specifically the section on bootstrapping (What Clauset et al. recommended, where a high p indicates a power law) vs. comparing between distributions (what I recommend, where a low p indicates 1 of the 2 distributions compared is a significantly better fit than the other).

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On Fri, May 25, 2018 at 4:28 AM, lymanblue ***@***.***> wrote: I am confused about the meaning of the p-value between the software and the paper. From the software document, p-value represents significant when p-value < 0.05 (normal usage in statistics) However, the footnote in the page 17 of the paper "Power Law Distributions in Empirical Data" states that they use p-value as a measure of the hypothesis they are trying to verify. Hence, high values, not low, are "good". So, if I use distribution_compare(A, B), and R > 0, p-value > 0.1. Is A better to fit the data? Thank you. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#57>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AA6_r-aPCN8oxV4QVPd9zwcCiU-cDmHSks5t18ChgaJpZM4UNkYY> .