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: Business Statistics for Competitive Advantage with Excel 2019 and JMP
    sub title: Basics, Model Building, Simulation and Cases
  name:
    name part: Fraser, Cynthia.
    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: XII, 417 p. 345 illus., 341 illus. in color. online resource.
  abstract: The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. Students learn to build models, produce statistics, and translate results into implications for decision makers. The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods. The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP.
  table of contents: 1. Statistics for Decision Making and Competitive Advantage -- 2. Describing your Data -- 3 Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences -- 4. Simulation to Infer Future Performance Levels Given Assumptions -- 5. Simple Regression for Long Range Forecasts -- 6. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- 7. Indicator Variables -- 8. Presenting Statistical analysis Results to Management -- 9. Nonlinear Regression Models -- 10. Logit Regression for Bounded Dependent Variables -- 11. Building Multiple Regression Models -- 12. Model Building and Forecasting with Multicollinear Time Series.-13. Association between Two Categorical Varaibles: Contingency Analysis with Chi Square -- 14. Conjoint Analysis and Experimental Data.
  note: by Cynthia Fraser.
  subject:
    topic: Statistics
  subject:
    topic: Management
  subject:
    topic: Market research
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Management
  subject:
    topic: Market Research/Competitive Intelligence
  classification: QA276-280
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783030203740
  identifier: https://doi.org/10.1007/978-3-030-20374-0
  record info:
    record creation date: 190802
    record change date: 20191024171539.0
    record identifier: 978-3-030-20374-0