July 2025
Beginner to intermediate
448 pages
15h 1m
English
Content preview from Statistics Every Programmer Needs
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9 Running Monte Carlo simulations
This chapter covers
- Monte Carlo simulations
- Mathematical foundations
- Applications to discrete random variables
- Applications to continuous random variables
- Generating and interpreting simulation results
Monte Carlo simulations are a powerful and versatile tool used to model and analyze complex systems and processes across many fields. They are named after the Monte Carlo Casino in Monaco, reflecting the reliance on random sampling methods, which are reminiscent of the inherent randomness in gambling. This connection stems from early applications of these methods in probabilistic studies during the mid-20th century. The basic idea behind Monte Carlo simulations is to use random sampling to generate a range ...
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