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: Statistical analysis in forensic science
    sub title: evidential value of multivariate physicochemical data
  name:
    name part: Zadora, Grzegorz.
  name:
    name part: Martyna, Agnieszka.
  name:
    name part: Ramos, Daniel.
  name:
    name part: Aitken, Colin.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: Chichester, West Sussex
    publisher: John Wiley & Sons Inc.
    date issued: ©2014
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "A practical guide for determining the evidential value of physicochemical data. Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored."--Publisher info.
  table of contents: Physicochemical data obtained in forensic science laboratories -- Evaluation of evidence in the form of physicochemical data -- Continuous data -- Likelihood ratio models for comparison problems -- Likelihood ratio models for classification problems -- Performance of likelihood ratio methods.
  note: Grzegorz Zadora, Agnieszka Martyna, Daniel Ramos, Colin Aitken.
  note: Includes bibliographical references and index.
  subject:
    topic: Chemistry, Forensic
  subject:
    topic: Forensic statistics
  subject:
    topic: Chemometrics
  subject:
    topic: Forensic Sciences
    topic: statistics & numerical data
  subject:
    topic: Chemistry Techniques, Analytical
    topic: statistics & numerical data
  subject:
    topic: Data Interpretation, Statistical
  classification: RA1057 .S73 2014
  classification: 614/.12
  classification: W 750
  related item:
    title info:
      title: Statistical analysis in forensic science
    origin info:
      publisher: Chichester, West Sussex : John Wiley & Sons Inc., ©2014
    identifier: (DLC) 2013031698
  identifier: 9781118763186
  identifier: 1118763181
  identifier: 9781118763179
  identifier: 1118763173
  identifier: 130611859X
  identifier: 9781306118590
  identifier: 9781118763155
  identifier: 1118763157
  identifier: 9780470972106
  identifier: 0470972106
  identifier: 2013038429
  identifier: CL0500000570 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 130920
    record change date: 20260214200008.9
    record identifier: in00004682127
    language of cataloging:
      language term: eng