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: Applied Regression Analysis for Business
    sub title: Tools, Traps and Applications
  name:
    name part: Welc, Jacek.
    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: Esquerdo, Pedro J. Rodriguez.
    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: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 286 p. 58 illus. in color. online resource.
  abstract: This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.
  table of contents: Preface.- Basics of regression models.- Relevance of outlying and influential observations for regression analysis.- Basic procedure for multiple regression model building -- Verification of multiple regression model -- Common adjustments to multiple regressions -- Common pitfalls in regression analysis -- Regression analysis of discrete dependent variables -- Real-life case-study: The quarterly sales revenues of Nokia Corporation -- Real-life case-study: Identifying overvalued and undervalued airlines -- Appendix: Statistical Tables.
  note: by Jacek Welc, Pedro J. Rodriguez Esquerdo.
  subject:
    topic: Business mathematics
  subject:
    topic: Statistics
  subject:
    topic: Econometrics
  subject:
    topic: Business Mathematics
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Econometrics
  classification: HF5691-5716
  classification: 330.0151
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319711560
  identifier: https://doi.org/10.1007/978-3-319-71156-0
  record info:
    record creation date: 171229
    record change date: 20191026072240.0
    record identifier: 978-3-319-71156-0