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: Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference
  name:
    name part: Rychtář, Jan.
    role:
      role term: editor.
  name:
    name part: Gupta, Sat.
    role:
      role term: editor.
  name:
    name part: Shivaji, Ratnasingham.
    role:
      role term: editor.
  name:
    name part: Chhetri, Maya.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 170 p. 47 illus. online resource.
  abstract: The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The 8th Conference took place on November 3, 2012. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states. The conference is specifically tailored for students to present the results of their research and to allow participants to interact with and learn from each other. This type of engagement is truly unique. The broad scope of UNCG-RMSC includes topics in applied mathematics, number theory, biology, statistics, biostatistics and computer sciences. .
  table of contents: Preface -- Promoting Undergraduate Research in Mathematics -- A program Making a Difference in Quantitative Sciences -- Quantitative Methods in Biomedical Applications: Creative Inquiry and Digital Learning Environments to Engage and Mentor STEM Students in Mathematics.
  note: edited by Jan Rychtář, Sat Gupta, Ratnasingham Shivaji, Maya Chhetri.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Statistics, general
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 64
  identifier: 9781461493327
  identifier: http://dx.doi.org/10.1007/978-1-4614-9332-7
  record info:
    record creation date: 131120
    record change date: 20151030021355.0
    record identifier: 978-1-4614-9332-7