• 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