GitHub - shreyash0023/Statistical-Distrubution-Simulator: A python program to simulation different statistical distributions, both uniform and continuous. The program simulates distribution of bernoulli, binomial, geometric, negative binomial, poisson, arbitrary discrete, uniform, exponential, gamma, and normal.

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Programming Language Used: Python 2.7.15 :: Anaconda, Inc.
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CODE STRUCTURE
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1. All the distributions are implemented at different functions.
2. Make sure to name the correct distributions before running.
3. All the distributions give P(x=X) for the given parameters.
4. Bernoulli and Arbitrary discrete distributions only prints the final output of selecting the elements with the assigned probability. 


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HOW TO RUN THE CODE
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Command
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python simulateDist.py <number-of-samples> <distribution> <parameters> 

NOTE
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The simulateDist should be in the same directory as at the terminal.

About

A python program to simulation different statistical distributions, both uniform and continuous. The program simulates distribution of bernoulli, binomial, geometric, negative binomial, poisson, arbitrary discrete, uniform, exponential, gamma, and normal.

machine-learning statistics

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