Advanced & Applied Topics · Simulation & Monte Carlo Methods

Simulation: Generation of univariate random variables

Public introduction · full guide in Eikos

Introduction

What this guide covers

A rigorous treatise on the mathematical methodologies, computational algorithms, and statistical validations necessary to simulate univariate random variables with mathematical precision.

Overview

Topics covered

  • Introduction
  • Generation of Univariate Random Variables
  • Pseudorandom Number Generators (PRNG)
  • 1.1 Linear Congruential Generators (LCG)
  • 1.2 The Mersenne Twister Algorithm (MT19937)
  • Statistical Properties of the Standard Uniform Generator

Related concepts

Main connections

  • Calculus & differentiation
  • Poisson distribution
  • Mean & expected value
  • Variance & standard deviation
  • Normal (Gaussian) distribution
  • Chi-squared tests & goodness of fit

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Xn+1=(aXn+c)(modm)
View LaTeX sourceX_{n+1} = (a X_n + c) \pmod m