Professor Rob J Hyndman

Rob J Hyndman

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DBA6000

Quantitative Business Research Methods

Slides:

  • Introduction
  1. Research design
  2. Data collection
  3. Data summary
  4. Computing and quantitative research
  5. Significance
  6. Statistical models and regression
  7. Significance in regression
  8. Dimension reduction
  9. Data analysis with a categorical response variable
  10. A survey of statistical methodology
  11. Further methods
  12. Presenting quantitive information

Notes:

  • Notes (4.2Mb)

Data:

  • NY Automobile club calls: Excel file SPSS file
  • Calls to Melbourne call centre: Excel file SPSS file

Recommended books:

  • Reading Statistics and Research by Sky Huck.
  • SPSS Survival Manual by Julie Pallant.
  • Analyzing Social Science Data by David de Vaus.
  • Chance Encounters by Chris Wild and George Seber.

Online references:

  • Electronic textbook
  • Some more advanced notes on statistical methods
  • Share/Bookmark

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  • My other webpages

    • International Journal of Forecasting
    • Time series data library
    • Forecasting textbook
    • Exponential smoothing book
    • Dandenong Bible Education Centre
    • Bible answers blog
  • RSS From my research blog

    • Using the command line in Windows
    • Learning R by video
    • LaTeX error in beamer
    • Using Google Reader
    • Top four LaTeX mistakes
    • What to do when the PhD is finished?
    • Why referee?
    • Writing a referee report
    • iPhone apps for research
    • Using DOIs
In God we trust. All others must have data. (W. Edwards Deming)

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