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Best selling Multivariate Data Analysis notes

Summary Multivariate Statistics Summary Multivariate Statistics Popular
  • Summary Multivariate Statistics

  • Summary • 55 pages • 2021 Popular
  • Summary of the whole course Multivariate Statistics (1ZM31). Written in the year 2021-2022, provides an overview of all the book chapters, lectures and even the tutorials. Comprehensive review to aid your learning
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Full summary MMSR 2023/2024 Full summary MMSR 2023/2024 Popular
  • Full summary MMSR 2023/2024

  • Summary • 45 pages • 2024 Popular
  • This document is a full summary for the exam Methodology in Marketing and Strategic Management Research (MMSR) at Radboud University. I made this summary from lectures + video clips + article by Henseler + book by Hair. The summary is made in study year 2023/2024.
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Newest Multivariate Data Analysis summaries

Full summary MMSR 2023/2024 Full summary MMSR 2023/2024 New
  • Full summary MMSR 2023/2024

  • Summary • 45 pages • 2024 New
  • This document is a full summary for the exam Methodology in Marketing and Strategic Management Research (MMSR) at Radboud University. I made this summary from lectures + video clips + article by Henseler + book by Hair. The summary is made in study year 2023/2024.
    (0)
  • $7.58
  • + learn more
Summary Multivariate Statistics Summary Multivariate Statistics New
  • Summary Multivariate Statistics

  • Summary • 55 pages • 2021 New
  • Summary of the whole course Multivariate Statistics (1ZM31). Written in the year 2021-2022, provides an overview of all the book chapters, lectures and even the tutorials. Comprehensive review to aid your learning
    (1)
  • $8.36
  • 8x sold
  • + learn more
Summary multivariate statistics 1ZM31, tutorials and slides Summary multivariate statistics 1ZM31, tutorials and slides New
  • Summary multivariate statistics 1ZM31, tutorials and slides

  • Summary • 18 pages • 2017 New
  • Summary of the course multivariate statistics 1ZM31 of the tutorials (including R and LISREL commands) and the slides. For some topics figures/information from the boek (Hair 2010) is added as well. Content: Data exploration Factor analaysis multiple regression logistic regression structural equation modeling
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