STATISTICAL COMPUTER SIMULATIONS AND MONTE CARLO METHODS
Sanda Micula ()
Additional contact information
Sanda Micula: Babeş-Bolyai University
Journal of Information Systems & Operations Management, 2015, vol. 9, issue 2, 384-394
Abstract:
In this paper we present Monte Carlo methods for estimating distribution characteristics of random variables. We describe algorithms for computer simulations of some common distributions and their implementation in MATLAB. The paper concludes with examples and applications.
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/WI15/JISOM-WI15-A11.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:10:y:2015:i:2:p:384-394
Access Statistics for this article
More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().