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: Statistics for mining engineering
  name:
    name part: Czaplicki, Jacek M.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiii, 274 pages)
  abstract: Many areas within mining engineering gather and use information that is statistical in nature. This information is provided by observing the realities of activities such as the operation of pieces of equipment and their systems, the processes of the development of mining works, the surface subsidence that accompanies underground mining, the displacement of rocks surrounding surface pits and underground drives and longwalls, etc.
  table of contents: Front Cover; Contents; Preface and acknowledgements; About the author; List of major notations; 1. Fundamentals; 2. Some areas of the application of mathematical statistics in mining; 3. Analysis of data; 4. Synthesis of data; 5. Relationships between random variables; 6. Synthesis of data-regression analysis; 7. Special topic: Prediction; 8. Explanations of some important terms; 9. Statistical tables; References.
  note: Jacek M. Czaplicki.
  note: Includes bibliographical references and index.
  subject:
    topic: Mining engineering
    topic: Statistical methods
  subject:
    topic: Mineral industries
  subject:
    topic: Statistics as Topic
    topic: methods
  subject:
    topic: Mining
  subject:
    topic: Technique minière
    topic: Méthodes statistiques
  subject:
    topic: Mines
    topic: Industrie
  subject:
    topic: mining
  subject:
    topic: MATHEMATICS
    topic: Applied
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: Mineral industries
  subject:
    topic: Mining engineering
    topic: Statistical methods
  classification: TN272.7 .C93 2014eb
  classification: 519.5
  classification: MAT029000 TEC005000 TEC009150
  related item:
    title info:
      title: Statistics for mining engineering
    name:
      name part: Czaplicki, Jacek M.
    origin info:
      publisher: London, UK : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, 2014
    identifier: (DLC) 2013043750
    identifier: (OCoLC)857966625
  identifier: 9781315815039
  identifier: 1315815036
  identifier: 1306410371
  identifier: 9781306410373
  identifier: 1138001139
  identifier: 9781138001138
  identifier: 9781317806325
  identifier: 1317806328
  identifier: 9781317806332
  identifier: 1317806336
  identifier: 9781317806349
  identifier: 1317806344
  identifier: 9781138075580
  identifier: 572288 MIL
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://go.oreilly.com/TAMU/library/view/-/9781138001138/
  record info:
    record content source: EBLCP
    record creation date: 140118
    record change date: 20241108165720.6
    record identifier: in00005520990
    language of cataloging:
      language term: eng