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: Remodeling forensic skeletal age
    sub title: modern applications and new research directions
  name:
    name part: Algee-Hewitt, Bridget.
  name:
    name part: Kim, Jieun.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Remodeling Forensic Skeletal Age: Modern Applications and New Research Directions presents a comprehensive understanding of the analytical frameworks and conceptual approaches surrounding forensic age estimation and the current state of the field. The book also includes a series of recommendations of best practice through chapter-examples that offer theory and guidance for data acquisition, technique and/or model development, and the assessment of impact of the adopted approaches. Written by leading, international experts, the book's contributors provide an introduction, conceptual understanding and taxonomy of statistical frameworks and computational approaches, including the Bayesian paradigm and machine learning techniques for age estimation.
  note: edited by Bridget F.B. Algee-Hewitt and Jieun Kim.
  subject:
    topic: Forensic osteology
  subject:
    topic: Ostéologie légale
  subject:
    topic: Forensic osteology
  classification: RA1059 .R46 2021
  classification: 614.17
  related item:
    identifier: (OCoLC)1181839369
  identifier: 0128243910
  identifier: 9780128243916
  identifier: 9780128243701
  identifier: 0128243708
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 210426
    record change date: 20260327170224.5
    record identifier: in00005768018
    language of cataloging:
      language term: eng