Premium
Monte Carlo Generation of Order Statistics from General Distributions
Author(s) -
Gerontidis I.,
Smith R. L.
Publication year - 1982
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347997
Subject(s) - monte carlo method , statistical physics , statistics , order statistic , econometrics , mathematics , physics
S ummary 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.