Consistency property of elliptical probability density functions
Journal of Multivariate Analysis
A First Course in Order Statistics (Classics in Applied Mathematics)
A First Course in Order Statistics (Classics in Applied Mathematics)
Conditional limiting distribution of beta-independent random vectors
Journal of Multivariate Analysis
Asymptotics of the norm of elliptical random vectors
Journal of Multivariate Analysis
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In this paper we consider elliptical random vectors in R^d,d=2 with stochastic representation RAU where R is a positive random radius independent of the random vector U which is uniformly distributed on the unit sphere of R^d and A@?R^d^x^d is a non-singular matrix. When R has distribution function in the Weibull max-domain of attraction we say that the corresponding elliptical random vector is of Type III. For the bivariate set-up, Berman [Sojurns and Extremes of Stochastic Processes, Wadsworth & Brooks/ Cole, 1992] obtained for Type III elliptical random vectors an interesting asymptotic approximation by conditioning on one component. In this paper we extend Berman's result to Type III elliptical random vectors in R^d. Further, we derive an asymptotic approximation for the conditional distribution of such random vectors.