Title
On the effect of inducted negative correlation rate for beta acceptance-rejection algorithms.
Abstract
One of the variance reduction methods in simulation experiments is negative correlation induction, and in particular the use of the antithetic variates. The simultaneous use of antithetic variates and an acceptance-rejection method has been studied in some papers, where the inducted negative correlation has been calculated. In this study, the factors affecting the inducted negative correlation rate are addressed. To do this, the beta distribution is first selected to generate negatively correlated random variates using the acceptance-rejection method. The effects of both the efficiency of the acceptance-rejection method and the initial negative correlation rate on the inducted negative correlation are explored. Results show that both factors have significant effects; therefore, a combination of both can lead to algorithms better able to generate negative correlations.
Year
DOI
Venue
2017
10.1080/03610918.2015.1039128
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
Field
DocType
Acceptance-rejection method,Antithetic Variates,Beta distribution,Negative correlation induction
Econometrics,Rejection sampling,Negative correlation,Algorithm,Antithetic variates,Beta (finance),Statistics,Variance reduction,Mathematics,Beta distribution
Journal
Volume
Issue
ISSN
46
3
0361-0918
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Hamidreza Moheghi100.34
Seyed Taghi Akhavan Niaki262457.47
Behrang Bootaki391.54
Davood Bakhshesh463.20