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TP2.2 - Pseudorandoms with Different Distributions

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TP2.2 - Pseudorandoms with Different Distributions

Study of pseudo-random numbers with different distribution's generator algorithms, then performing some tests on them

Continuous Probability Distributions Programmed

Uniform

Exponential

Gamma

Normal

Discrete Probability Distributions Programmed

Binomial

Negative Binomial (Pascal)

Hypergeometric

Poisson

Empirical

Tests

Statistics Parameters: Analytic vs Simulated (Mean and Variance)

Kolmogorov-Smirnov

Cumulative Distribution Function (CDF) Comparative

Example of Continuous Distribution comparison results

Pseudorandom Numbers: 500

Graphics: Cumulative Distribution Function (Analytic vs Simulated)

uniform exponential gamma normal