Monte Carlo Generation of Order Statistics from General Distributions
I. Gerontidis and
R. L. Smith
Journal of the Royal Statistical Society Series C, 1982, vol. 31, issue 3, 238-243
Abstract:
Several methods are considered for the generation of a complete set of order statistics from a specified distribution. In the case of the uniform distribution, several methods in the literature are collected and reviewed. Three methods appropriate for general distributions are then described, with the normal and beta distributions considered as examples. The recommended method, which appears to be new, consists of dividing the range of the distribution into a large number of intervals and applying rejection sampling on each interval.
Date: 1982
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2307/2347997
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:bla:jorssc:v:31:y:1982:i:3:p:238-243
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876
Access Statistics for this article
Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith
More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().