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 Statistics and Multivariate Data Analysis for Business and Economics
    sub title: A Modern Approach Using SPSS, Stata, and Excel
  name:
    name part: Cleff, Thomas.
    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: 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: XXIII, 474 p. 269 illus., 110 illus. in color. online resource.
  abstract: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.
  table of contents: Statistics and Empirical Research -- From Disarray to Dataset -- Univariate Data Analysis -- Bivariate Association -- Classical Measurement Theory.-Calculating Probability -- Random Variables and Probability Distributions -- Parameter Estimation -- Hypothesis Testing -- Regression Analysis -- Time Series and Indices -- Cluster Analysis -- Factor Analysis.
  note: by Thomas Cleff.
  subject:
    topic: Econometrics
  subject:
    topic: Big data
  subject:
    topic: Statistics
  subject:
    topic: Econometrics
  subject:
    topic: Big Data/Analytics
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Statistics for Social Sciences, Humanities, Law
  subject:
    topic: Statistics and Computing/Statistics Programs
  classification: HB139-141
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783030177676
  identifier: https://doi.org/10.1007/978-3-030-17767-6
  record info:
    record creation date: 190710
    record change date: 20191026132539.0
    record identifier: 978-3-030-17767-6