Mixture
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Pair 1 highlight_off
Pair 2 highlight_off
Pair 3 highlight_off
Pair 4 highlight_off
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Pair 6 highlight_off
Pair 7 highlight_off
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Meta-logistic distribution.
Fit method: Linear least squares
5000 random samples: 
[-1.18130575e+01, -1.22251101e+01, -1.04393134e+01,  1.02497623e+01,  4.19964783e+00, -1.98954773e+01,  2.01889965e+01, -2.72453856e+01, -8.55668917e+00, -3.76181711e+01, -5.52731783e+00, -1.13514703e+01, -1.20873376e+01, -1.69358106e+01,  1.15826796e+01,  1.26463163e+02,  4.92315375e+01,  3.44511699e+00,  1.21170205e+01, -3.29726068e+00,  6.07006837e+01, -2.39806281e+01, -1.02710320e+01, -2.25637785e+00, -5.12347975e+00,  1.17145906e+01, -1.99867282e+01, -1.31223953e+01, -1.84098771e+01, -1.52598073e+01, -5.71354214e+00, -1.09763856e+01,  8.17659668e+01,  9.77924424e+01, -5.99354776e+00, -4.02498571e-01, -1.11335841e+01, -2.34144640e+01, -3.45801329e-01, -1.63373066e+01, -7.10404493e+00,  7.99486737e+01, -3.06338616e+01, -1.87990224e+01,  1.40325477e+01,  1.10017250e+01, -1.15241365e+00,  2.49246690e+00, -8.13618819e+00,  2.49632913e+01, -6.44886837e+00, -1.53038311e+01, -6.82113514e+00, -9.71291564e+00, -3.05721365e+00,  6.05602320e+00,  9.25838921e+00,  1.85903739e+01, 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highlight_offRemove distribution
  ℹ  
  ℹ  
add_circle_outlineAdd pair
Pair 1 highlight_off
Pair 2 highlight_off
Pair 3 highlight_off
Pair 4 highlight_off
Pair 5 highlight_off
Pair 6 highlight_off
Pair 7 highlight_off
Pair 8 highlight_off
Pair 9 highlight_off
Pair 10 highlight_off
You may specify both bounds, or just one bound for a semi-bounded distribution.
  ℹ  
highlight_offRemove distribution
  ℹ  
  ℹ  
add_circle_outlineAdd pair
Pair 1 highlight_off
Pair 2 highlight_off
Pair 3 highlight_off
Pair 4 highlight_off
Pair 5 highlight_off
Pair 6 highlight_off
Pair 7 highlight_off
Pair 8 highlight_off
Pair 9 highlight_off
Pair 10 highlight_off
You may specify both bounds, or just one bound for a semi-bounded distribution.
  ℹ  
add_circle_outline Add another distribution to make a mixture
Examples:

Pro tip: use the browser's forward and back buttons to navigate your result history.

How to use the plot:


By Tom Adamczewski. Code on GitHub.
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