scipy.stats.genlogistic () — it is a generic boolean continuous random variable that is defined by a standard format and some form parameters to complete its specification.

Parameters:
-" q: lower and upper tail probability
-" a, b: shape parameters
-" x: quantiles
-" loc: [optional] location parameter. Default = 0
-" scale: [optional] scale parameter. Default = 1
-" size: [tuple of ints, optional] shape or random variates.
-" moments: [optional] composed of letters [’mvsk’]; ’m’ = mean, ’v’ = variance, ’s’ = Fisher’s skew and ’k’ = Fisher’s kurtosis. (default = ’mv’).Results: generalized logistic continuous random variable
Code # 1: Creating a generalized logistic continuous random variable
|
Output:
RV: "scipy.stats._distn_infrastructure.rv_frozen object at 0x0000018D578F4D30"
Code # 2: Generalized Logistic Random Variation and Probability Distribution.
|
Output:
Random Variates: [-2.25279702 -1.09146871 -0.01100363 -3.95860336 5.07952934 -2.3073455 -3.11698062 -0.32931819 8.84452349 -3.06546109] Probability Distribution: [0.00330477 0.03491595 0.06402364 0.09077633 0.11531469 0. 13777195 0.15827427 0.17694109 0.19388545 0.20921433]
Code # 3: Graphic representation.
|
Output:
Distribution: [0. 0.06122449 0.12244898 0.18367347 0.24489796 0.30612245 0.36734694 0.42857143 0.48979592 0.55102041 0.6122449 0.67346939 0.73469388 0.79591837 0.85714286 0.91836735 0.97959184 1.04081633 1.10204082 1.16326531 1.2244898 1.28571429 1.34693878 1.40816327 1.46938776 1.53061224 1.59183673 1.65306122 1.71428571 1.7755102 1.83673469 1.89795918 1.95918367 2.02040816 2.08163265 2.14285714 2.20408163 2.26530612 2.32653061 2.3877551 2.44897959 2.51020408 2.57142857 2.63265306 2.69387755 2.75510204 2.81632653 2.87755102 2.93877551 3. ]
Code # 4: Various Positional Arguments
|
Output:
