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Conditional limit results for type I polar distributions
Authors:Enkelejd Hashorva
Affiliation:(1) Department of Mathematical Statistics and Actuarial Science, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland
Abstract:Let (S 1,S 2) = (R cos(Θ), R sin(Θ)) be a bivariate random vector with associated random radius R which has distribution function F being further independent of the random angle Θ. In this paper we investigate the asymptotic behaviour of the conditional survivor probability $overline{I}_{rho,u}(y):=mbox{rm$boldsymbol{P}$} left{{rho S_1+ sqrt{1- rho^2} S_2> y lvert S_1> u}right} , rho in (-1,1),in !I!!R$ when u approaches the upper endpoint of F. On the density function of Θ we impose a certain local asymptotic behaviour at 0, whereas for F we require that it belongs to the Gumbel max-domain of attraction. The main result of this contribution is an asymptotic expansion of $overline{I}_{rho,u}$, which is then utilised to construct two estimators for the conditional distribution function $1- overline{I}_{rho,u}$. Furthermore, we allow Θ to depend on u.
Keywords:Polar distributions  Elliptical distributions  Gumbel max-domain of attraction  Conditional limit theorem  Tail asymptotics  Estimation of conditional distribution
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