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Table 5 Best fitting distributions for each continuous variable, without and with Kolmogorov–Smirnov outlier removal, considering 5 categories per variable

From: DI2: prior-free and multi-item discretization of biological data and its applications

Variables Without opt. \({\tilde{\chi }}^2\) statistic p-value >0.05 (\({\tilde{\chi }}^2\)) D statistic With opt. \({\tilde{\chi }}^2\) statistic p-value >0.05 (\({\tilde{\chi }}^2\)) D statistic
mcg foldcauchy 3.72 True 0.08 exponnorm 3.18 True 0.02
gvh genlogistic 3.57 True 0.03 genlogistic 2.02 True 0.02
alm genlogistic 17.00 False 0.05 genlogistic 12.08 False 0.03
mit exponnorm 19.23 False 0.05 exponnorm 6.11 True 0.03
pox chi2 \(4.4 \times 10^{-14}\) True 0.99 gengamma \(4.2 \times 10^{-14}\) True 0.99
vac laplace 20.99 False 0.08 pearson3 14.18 False 1.00
nuc exponnorm 1116.63 False 0.26 mielke 795.28 False 0.26
all variables genhalflogistic 45.69 False 0.25 genhalflogistic 10.25 False 0.21