Exact Distribution of the Max/Min of Two Gaussian Random Variables 论文

2008IEEE Transactions on Very Large Scale Integration (VLSI) Systems引用 235
Low-power high-performance VLSI designAdvancements in PLL and VCO TechnologiesVLSI and Analog Circuit Testing

摘要

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.

相关技术

暂无数据

相关事件

暂无数据

相关文章

暂无数据