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: Bayesian Theory and Methods with Applications
  name:
    name part: Savchuk, Vladimir.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Tsokos, Chris P.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: fr
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 318 p. online resource.
  abstract: Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.
  note: by Vladimir Savchuk, Chris P. Tsokos.
  subject:
    topic: Statistics
  subject:
    topic: Mathematical statistics
  subject:
    topic: Biostatistics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Popular works
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Biostatistics
  subject:
    topic: Popular Science, general
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Atlantis Studies in Probability and Statistics, 1
  identifier: 9789491216145
  identifier: http://dx.doi.org/10.2991/978-94-91216-14-5
  record info:
    record creation date: 110831
    record change date: 20151204191011.0
    record identifier: 978-94-91216-14-5