Abstract
Assuming von Mises type conditions, we can prove the density of the normalized maximum of i.i.d. random variables converges to the density of the appropriate extreme value distribution in the Lp metric, p≤∞ provided both F’ and the limit extreme value density are in the space Lp.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1981 Springer-Verlag
About this paper
Cite this paper
de Haan, L., Resnick, S.I. (1981). Local limit theorem for sample extremes. In: Dugué, D., Lukacs, E., Rohatgi, V.K. (eds) Analytical Methods in Probability Theory. Lecture Notes in Mathematics, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0097312
Download citation
DOI: https://doi.org/10.1007/BFb0097312
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-10823-8
Online ISBN: 978-3-540-36785-7
eBook Packages: Springer Book Archive