Abstract

Homogeneous distributions on R+d and on R¯+d∖︀{∞¯d} are shown to be Bauer simplices when normalized. This is used to provide spectral representations for the classical power mean values Mt(x) which turn out to be unique mixtures of the functions x⟼mini≤d(aixi) for t≤1 (with some gaps depending on the dimension d), resp. x⟼maxi≤d(aixi) for t≥1 (without gaps), where ai≥0.There exists a very close connection with so-called stable tail dependence functions of multivariate extreme value distributions. Their characterization by Hofmann (2009) [7] is improved by showing that it is not necessary to assume the triangle inequality — which instead can be deduced.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.