DocumentCode
1558489
Title
On the convergence rate of ordinal comparisons of random variables
Author
Fu, Michael C. ; Jin, Xing
Author_Institution
R. H. Smith Sch. of Bus., Maryland Univ., College Park, MD, USA
Volume
46
Issue
12
fYear
2001
fDate
12/1/2001 12:00:00 AM
Firstpage
1950
Lastpage
1954
Abstract
The asymptotic exponential convergence rate of ordinal comparisons follows from well-known results in large deviations theory, where the critical condition is the existence of a finite moment generating function. In this note, we show that this is both a necessary and sufficient condition, and also show how one can recover the exponential convergence rate in cases where the moment generating function is not finite. In particular, by working with appropriately truncated versions of the original random variables, the exponential convergence rate can be recovered
Keywords
convergence; random processes; asymptotic exponential convergence rate; finite moment generating function; large deviations theory; moment generating function; necessary and sufficient condition; ordinal comparisons; random variables; truncated variables; Convergence; Random variables; Stochastic processes; Sufficient conditions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.975498
Filename
975498
Link To Document