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: burr continuous random variable
Code # 1: Generating a continuous random variable
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Output:
RV: "scipy.stats._distn_infrastructure.rv_frozen object at 0x0000029482FCC438"
Code # 2: beta random variations and probability distribution function.
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Output:
Random Variates: [1.51241629e-04 3.47964171e-01 2.94154949e-02 5.10430246e-02 1.82413279e-02 2.12564883e + 00 3.51099766e-05 2.32907895e + 01 6.24723647e-04 2.79124934e-01] Probability Distribution: [6.21994723 1.01375434 0.57575653 0.40021455 0.30462819 0.24439598 0.20298921 0.17281591 0.14988693 0.1319016]
Code # 3: Graphic representation.
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Output:
Distribution: [0. 0.10204082 0.20408163 0.30612245 0.40816327 0.51020408 0.6122449 0.71428571 0.81632653 0.91836735 1.02040816 1.12244898 1.2244898 1.32653061 1.42857143 1.53061224 1.63265306 1.73469388 1.83673469 1.93877551 2.04081633 2.14285714 2.24489796 2.34693878 2.44897959 2.55102041 2.65306122 2.75510204 2.85714286 2.95918367 3.06122449 3.16326531 3.26530612 3.36734694 3.46938776 3.57142857 3.67346939 3.7755102 3.87755102 3.97959184 4.08163265 4.18367347 4.28571429 4.3877551 4.48979592 4.59183673 4.69387755 4.79591837 4.89795918 5. ]
Code # 4: Various Positional Arguments
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Output:
