Extremes and Local Dependence in Stationary Sequences.

Abstract

Extensions of classical extreme value theory to apply to stationary sequences generally make use of two types of dependence restriction: (a) a weak 'mixing condition' restricting long range dependence; and (b) a local condition restricting the 'clustering' of high level exceedances. The purpose of this paper is to investigate extremal properties when the local condition (b) is omitted. It is found that, under general conditions, the type of the limiting distribution for maxima is unaltered. The precise modifications and degree of clustering of high level exceedances are found to be largely described by a parameter here called the 'extremal index' of the sequence. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA120180

Entities

People

  • M. Ross Leadbetter

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Clustering
  • Convergence
  • Data Science
  • Information Science
  • North Carolina
  • Order Statistics
  • Probability
  • Random Variables
  • Scientific Research
  • Security
  • Sequences
  • Stationary
  • Stationary Processes
  • Statistical Analysis
  • Statistics
  • Stochastic Processes

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Calculus or Mathematical Analysis
  • Regression Analysis.