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: Applied smoothing techniques for data analysis
    sub title: the kernel approach with S-Plus illustrations
  name:
    name part: Bowman, A. W.
    role:
      role term: creator
    role:
      role term: συγγραφέας.
  name:
    name part: Azzalini, Adelchi
    role:
      role term: συγγραφέας.
  type of resource: text
  genre: bibliography
  genre: Ηλεκτρονικά βιβλία
  origin info:
    place:
      place term: enk
    place:
      place term: Oxford
    place:
      place term: New York
    publisher: Clarendon Press
    publisher: Oxford University Press
    date issued: 1997
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 ηλεκτρονική πηγή (xi, 193 σ.) : εικ.
  abstract: The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can be applied to practical problems in statistics. The role of smoothing techniques in exploring data graphically is emphasised, but the use of nonparametric curves in drawing conclusions from data, as an extension of more standard parametric models, is also a major focus of the book. Examples are drawn from a wide range of applications. The book is intended for those who seek an introduction to the area, with an emphasis on applications rather than on detailed theory. It is therefore expected that the book will benefit those attending courses at an advanced undergraduate, or postgraduate, level, as well as researchers, both from statistics and from other disciplines, who wish to learn about and apply these techniques in practical data analysis. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored.; S-Plus functions and example scripts are provided to implement many of the techniques described. These parts are, however, clearly separate from the main body of text, and can therefore easily be skipped by readers not interested in S-Plus.
  note: Adrian W. Bowman and Adelchi Azzalini.
  note: Includes bibliographical references (pages 175-186) and indexes.
  subject:
    topic: Εξομάλυνση (Στατιστική)
  classification: 519.5
  related item:
    title info:
      title: Oxford statistical science series 18
  related item:
    title info:
      title: Oxford science publications
  identifier: 0585484104
  identifier: 9780585484105
  identifier: 128037523X
  identifier: 9781280375231
  identifier: http://search.ebscohost.com/login.aspx
  record info:
    record content source: N$T
    record creation date: 031227
    record change date: 20240905123836.0
    record identifier: ocm53956470
    language of cataloging:
      language term: eng