Bulletin of the
Korean Mathematical Society
BKMS

ISSN(Print) 1015-8634 ISSN(Online) 2234-3016

Article

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Bull. Korean Math. Soc. 2008; 45(1): 75-93

Printed March 1, 2008

Copyright © The Korean Mathematical Society.

Second order regular variation and its applications to rates of convergence in extreme-value distribution

Fuming Lin, Zuoxiang Peng, and Saralees Nadarajah

Sichuan University of Sciences, Sichuan University of Sciences, and University of Manchester

Abstract

The rate of convergence of the distribution of order statistics to the corresponding extreme-value distribution may be characterized by the uniform and total variation metrics. de Haan and Resnick [4] derived the convergence rate when the second order generalized regularly varying function has second order derivatives. In this paper, based on the properties of the generalized regular variation and the second order generalized variation and characterized by uniform and total variation metrics, the convergence rates of the distribution of the largest order statistic are obtained under weaker conditions.

Keywords: second order generalized regularly varying function, extreme-value distribution, rate of convergence, total variation metrics

MSC numbers: 60G70