rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Asymptotic Methods in Probability and Statistics with Applications
  name:
    name part: Balakrishnan, N.
    role:
      role term: creator
  name:
    name part: Ibragimov, I. A.
  name:
    name part: Nevzorov, V. B.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2001
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (XXIII, 549 pages 1 illustration)
  abstract: This book represents thirty-eight extensive and carefully edited chapters written by prominent researchers, providing an up-to-date survey of new asymptotic methods in science and technology. The chapters contain broad coverage of the latest developments and innovative techniques in a wide range of theoretical and numerical issues in the field of asymptotic methods in probability and mathematical statistics. The book is organized into ten thematic parts: probability distributions; characterizations of distributions; probabilities and measures in high dimensional structures; weak and stron limit theorems; large deviation probabilities; empirical processes; order statistics and records; estimation of parameters and hypotheses testing; random walks, and applications to finance. Written in an accessible style, this book conveys a clear and practical perspective of asymptotic methods. Topics and features:Recent developments in asymptotic methods; Parametric and Nonparametric Inference; Distribution Theory; Stochastic Processes; Order Statistics; Record values and Characterizations. Asymptotic methods in Probability and Mathematical Statistics is an essential resource for reseachers, practitioners, and professionals involved in Theoretical and Applied Probability and/or in Theoretical and Applied Statistics. Various chapters of the volume will also appeal to industrial statisticians and financial economists.
  note: edited by N. Balakrishnan, I.A. Ibragimov, V.B. Nevzorov.
  note: Electronic resource.
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical statistics
  subject:
    topic: Mathematical statistics
  subject:
    topic: Mathematics
  classification: QA402-402.37
  classification: 519.6
  related item:
    title info:
      title: Statistics for industry and technology
  identifier: 9781461202097 (electronic bk.)
  identifier: 1461202094 (electronic bk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: I9W
    record creation date: 121227
    record change date: 20260422210953.9
    record identifier: in00003546206
    language of cataloging:
      language term: eng