Conditions for the Convergence in Distribution of Maxima of Stationary Normal Processes.

Abstract

In this report the standard (Berman) conditions for the validity of the asymptotic distribution for the maximum of a normal process are further weakened, to become even closer to necessity. Both discrete and continuous parameter cases are considered. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1977
Accession Number
ADA040069

Entities

People

  • G. Lindgren
  • H. Rootzen
  • M. Ross Leadbetter

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Convergence
  • Covariance
  • Data Science
  • Gaussian Processes
  • Information Science
  • Military Research
  • North Carolina
  • Probability
  • Sequences
  • Standards
  • Stationary
  • Stationary Processes
  • Statistics
  • Stochastic Processes
  • Universities

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.