Skip to main content

Extremes and Related Properties of Random Sequences and Processes

  • Book
  • © 1983

Overview

Part of the book series: Springer Series in Statistics (SSS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

  1. Classical Theory of Extremes

  2. Extremal Properties of Dependent Sequences

  3. Extreme Values in Continuous Time

  4. Applications of Extreme Value Theory

Keywords

About this book

Classical Extreme Value Theory-the asymptotic distributional theory for maxima of independent, identically distributed random variables-may be regarded as roughly half a century old, even though its roots reach further back into mathematical antiquity. During this period of time it has found significant application-exemplified best perhaps by the book Statistics of Extremes by E. J. Gumbel-as well as a rather complete theoretical development. More recently, beginning with the work of G. S. Watson, S. M. Berman, R. M. Loynes, and H. Cramer, there has been a developing interest in the extension of the theory to include, first, dependent sequences and then continuous parameter stationary processes. The early activity proceeded in two directions-the extension of general theory to certain dependent sequences (e.g., Watson and Loynes), and the beginning of a detailed theory for stationary sequences (Berman) and continuous parameter processes (Cramer) in the normal case. In recent years both lines of development have been actively pursued.

Authors and Affiliations

  • Department of Statistics, The University of North Carolina, Chapel Hill, USA

    M. R. Leadbetter

  • Department of Mathematical Statistics, University of Lund, Lund, Sweden

    Georg Lindgren

  • Institute of Mathematical Statistics, University of Copenhagen, Copenhagen ø, Denmark

    Holger Rootzén

Bibliographic Information

  • Book Title: Extremes and Related Properties of Random Sequences and Processes

  • Authors: M. R. Leadbetter, Georg Lindgren, Holger Rootzén

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-5449-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1983

  • Softcover ISBN: 978-1-4612-5451-5Published: 10 November 2011

  • eBook ISBN: 978-1-4612-5449-2Published: 06 December 2012

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XII, 336

  • Topics: Statistics, general, Probability Theory and Stochastic Processes

Publish with us