Hidden regular variation and the rank transform.

Heffernan, J. E. and Resnick, S. I. (2005) Hidden regular variation and the rank transform. Advances in Applied Probability, 37 (2). pp. 393-414. ISSN 1475-6064

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Abstract

Random vectors in the positive orthant whose distributions possess hidden regular variation are a subclass of those whose distributions are multivariate regularly varying with asymptotic independence. The concept is an elaboration of the coefficient of tail dependence of Ledford and Tawn. We show that the rank transform that brings unequal marginals to the standard case also preserves the hidden regular variation. We discuss applications of the results to two examples, one involving flood risk and the other Internet data.

Item Type:
Journal Article
Journal or Publication Title:
Advances in Applied Probability
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa
Subjects:
?? HEAVY TAILREGULAR VARIATIONPARETO TAILCOEFFICIENT OF TAIL DEPENDENCEHIDDEN REGULAR VARIATIONRANK TRANSFORMASYMPTOTIC INDEPENDENCEINTERNET TRAFFICFLOOD RISKAPPLIED MATHEMATICSSTATISTICS AND PROBABILITYQA MATHEMATICS ??
ID Code:
19375
Deposited By:
Deposited On:
20 Nov 2008 12:45
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Sep 2023 00:13