Monte Carlo Methods

  • Massimiliano Bonamente
Part of the Graduate Texts in Physics book series (GTP)


The term Monte Carlo refers to the use of random variables to evaluate quantities such as integrals or parameters of fit functions that are typically too complex to evaluate via other analytic methods. This chapter presents elementary Monte Carlo methods that are of common use in data analysis and statistics, in particular the bootstrap and jackknife methods to estimate parameters of fit functions.


Bootstrap Method Markov Chain Monte Carlo Method Uniform Random Variable Jackknife Method Bootstrap Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Busines Media New York 2013

Authors and Affiliations

  • Massimiliano Bonamente
    • 1
  1. 1.Department of PhysicsUniversity of AlabamaHuntsvilleUSA

Personalised recommendations