SPSS - Time Series (Historigram, Moving Averages, Seasonal Variations)

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  • Опубликовано: 22 авг 2024

Комментарии • 4

  • @mateoaponte1475
    @mateoaponte1475 Год назад

    Thank you so much for the tutorial, I am currently developing a forecasting model using ARIMA but I don´t know if it should remove the atypical data of the model or just start from a Dickey Fuller Test to check the trend. Thank you.

    • @ahsingtv
      @ahsingtv  Год назад

      My pleasure.
      Mateo, regarding your issue, it is highly recommended to consult your lecture/tutor since different people might have different expectations.
      For me, I would run for two set of results, one with the atypical data, one without. The reason is, some lecturers want the students to analyze how those abnormal data will affect the result. If the results show a significant difference which means that the abnormal data (or unforeseen circumstances) contribute a significant impact to the result, then justification needed since it might be a limitation of the model.
      On the other hand, some lecturers might only want the students to perform data cleansing, that's remove those abnormal data.
      Thanks for watching and have a nice day.

  • @DB-kv3wu
    @DB-kv3wu 2 года назад

    Best tutorial, but very short. How can I communicate you for better clarification?

    • @ahsingtv
      @ahsingtv  2 года назад +1

      Hi Dereje. Thanks for the comment.
      How may I help you?
      You may reach me at ahsing.math.excel@gmail.com
      Thanks for watching and have a nice day.