Certain bivariate distributions and random processes connected with maxima and minima


  • Tomasz J Kozubowski Department of Mathematics & Statistics, University of Nevada, Reno NV 89557, USA
  • Krzysztof Podgórski Department of Statistics School of Economics and Management, Lund University, Sweden


Copula, distribution theory, exponentiated distribution, extremes, generalized exponential distribution, order statistics, random minimum, random maximum, Sibuya distribution


It is well-known that [S(x)]^n and [F(x)]^n are the survival function and the
distribution function of the minimum and the maximum of n independent, identically distributed random variables, where S and F are their common survival and distribution functions, respectively. These two extreme order statistics play important role in countless applications, and are the central and well-studied objects of extreme value theory. In this work we provide stochastic representations for the quantities [S(x)]^alpha and [F(x)]^beta, where  alpha> 0 is no longer an integer, and construct a bivariate model with these margins. Our constructions and representations involve maxima and minima with a random number of terms. We also discuss generalizations to random process and further extensions.




Working Papers in Statistics