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KS test

JB Josh Walter Borella
MQ Mark Quigley
LV Louise Vick
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We used the KS test to quantify the “goodness of fit” between two data sets (38). The two-sample KS test is a nonparametric, distribution-free method that uses the maximum vertical deviation between the empirical distribution functions (D) of two samples (for example, curves) to generate a corresponding P value. If the P value is >0.05, then the null hypothesis of no significant difference between two measured phenomena is not rejected. A P value equal to 1 reflects identical data sets. See data S1 to S4 for individual KS tests performed on Rapaki rockfall data.

Copyright and License information:  ©2016, The Authors
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

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