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: Quantitative Methods for Management
    sub title: A Practical Approach
  name:
    name part: Canela, Miguel Ángel.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Alegre, Inés.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ibarra, Alberto.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 144 p. 42 illus. online resource.
  abstract: This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book's website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes. .
  table of contents: Part I: Basics -- Part II: Regression Analysis -- Part III: Classification -- Part IV: Times Series Data.
  note: by Miguel Ángel Canela, Inés Alegre, Alberto Ibarra.
  subject:
    topic: Production management
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Statistics
  subject:
    topic: Operations Management
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  classification: TS155-194
  classification: 658.5
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783030175542
  identifier: https://doi.org/10.1007/978-3-030-17554-2
  record info:
    record creation date: 190703
    record change date: 20191023191742.0
    record identifier: 978-3-030-17554-2