On the Exeedance Random Measures for Stationary Processes.

Abstract

Two common approaches to extremal theory for stationary processes involve (a) consideration of point processes of upcrossings of high levels and (b) use of the total exceedance time above such levels. The approach (a) yields a greater variety of interesting results regarding the global and local maxima, but requires more by way of regularity conditions on the sample paths, than does the approach (b). This work combines both approaches by consideration of the exceedance random measure thereby obtaining general results under weak conditions on the sample functions. These include previously known results in the case where more sample function regularity is assumed.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1987
Accession Number
ADA192838

Entities

People

  • M. Ross Leadbetter

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Convergence
  • Data Science
  • Differential Equations
  • Distribution Functions
  • Equations
  • Gaussian Processes
  • Information Science
  • Markov Processes
  • North Carolina
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Stationary Processes
  • Statistics
  • Stochastic Processes
  • Weak Convergence

Readers

  • Statistical inference.