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: Fundamentals and applications of multiway data analysis
  name:
    name part: Olivieri, Alejandro C.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    place:
      place term: Amsterdam
    publisher: Elsevier
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Fundamentals and Applications of Multiway Data Analysis provides comprehensive coverage of the main aspects of multiway analysis, including selected applications that can resolve complex analytical chemistry problems.This book follows on from Fundamentals and Analytical Applications of Multiway Calibration, (2015) by addressing new theoretical analysis and applications on subjects beyond multiway calibration and devoted to the analysis of multiway data for other purposes.Specifically, this new volume presents researchers a set of effective tools they can use to obtain the maximum information from instrumental data. This book includes the most advanced techniques, methods and algorithms related to multiway modelling for solving calibration and classification tasks, and the way they can be applied. This book collects contributions from a selected number of well-known and active chemometric research groups across the world, each covering one or more subjects where their expertise is recognized and appreciated. - Includes chapters written by renowned international authors, all currently active in the subject field- Presents coverage of all the main aspects of multi-way analytical data analysis, concerning the two main areas of interest: data generation and algorithmic models for data processing- Provides up-to-date material with reference to current literature on the subject.
  note: edited by Alejandro C. Olivieri [and more].
  subject:
    topic: Quantitative research
  subject:
    topic: Big data
  subject:
    topic: Recherche quantitative
  subject:
    topic: Données volumineuses
  classification: QA76.9.Q36
  classification: 001.4/2
  related item:
    title info:
      title: Data handling in science and technology ; v. 33
  related item:
    identifier: (OCoLC)1389878576
  identifier: 9780443132629
  identifier: 0443132623
  identifier: 9780443132612
  identifier: 0443132615
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 240124
    record change date: 20260327175325.4
    record identifier: in00005772646
    language of cataloging:
      language term: eng