DocumentCode
1009688
Title
Exact Distribution of the Max/Min of Two Gaussian Random Variables
Author
Nadarajah, Saralees ; Kotz, Samuel
Author_Institution
Univ. of Manchester, Manchester
Volume
16
Issue
2
fYear
2008
Firstpage
210
Lastpage
212
Abstract
Maximum and minimum of correlated Gaussian random variables arise naturally with respect to statistical static time analysis. It appears, however, that only approximations have been used in the literature to study the distribution of the max/min of correlated Gaussian random variables. In this paper, we would like to point out that the statistics literature has long established simple expressions for the exact distribution of the max/min. We provide some of the known expressions for the following: the probability density function, moment generating function, and the moments. We also provide two simple programs for computing the probability density functions of the max/min and an illustration of the results to statistical static time analysis.
Keywords
Gaussian distribution; random processes; statistical analysis; correlated Gaussian random variables; exact distribution; maximum distribution; minimum distribution; moment generating function; probability density function; statistical static time analysis; Distribution functions; Gaussian distribution; Probability density function; Random variables; Statistical distributions; Very large scale integration; Maximum; minimum; moment generating function (MGF); moments; probability density function (pdf); statistical static time analysis (SSTA);
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2007.912191
Filename
4403040
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