This starts by finishing the simple overview of statistics |
Covering Gaussian Random Numbers, Numerical Generation of Random Numbers both sequentially and in parallel |
Then we describe the central limit theorem which underlies Monte Carlo method |
Then it returns to Numerical Integration with the first part of discussion of Monte Carlo Integration |