Trend Adjusted Exponential Smoothing

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  • เผยแพร่เมื่อ 29 ก.ค. 2024
  • Final step in our look at short term time series forecasting

ความคิดเห็น • 11

  • @ExplorewithRishab
    @ExplorewithRishab 4 ปีที่แล้ว

    Thanks for this video. Helped me a lot with my Minor Project. Keep them coming :-)

  • @DanielPracianoNobre
    @DanielPracianoNobre 2 ปีที่แล้ว

    Thank you for your time and help

  • @ahmedkornah6921
    @ahmedkornah6921 3 ปีที่แล้ว

    Thank you for this nice video, I just have a question how can I determine beta factor?

  • @Handles123
    @Handles123 2 ปีที่แล้ว

    Thank you!

  • @kylebecker5083
    @kylebecker5083 3 ปีที่แล้ว +1

    Great video. Thank you. (The static in the audio is a little distracting)

  • @robertzirkle8161
    @robertzirkle8161 3 ปีที่แล้ว

    Mr. Green would you mind if I used this video for a class presentation?

    • @gregorygreen4398
      @gregorygreen4398  3 ปีที่แล้ว +2

      That's where I use it so I'm fine if you use it. As long as it is not an example of what not to do.

  • @nadhilahzahra3121
    @nadhilahzahra3121 3 ปีที่แล้ว

    Hey im from indonesia! Thankyou for sharing this, but can i ask u something? What is you basis in determining alpha and delta? Thankyou so much, hope u answer me

    • @nadhilahzahra3121
      @nadhilahzahra3121 3 ปีที่แล้ว

      *your

    • @gregorygreen4398
      @gregorygreen4398  3 ปีที่แล้ว +2

      Sorry to everyone that has asked this same question. I created this for a class I teach and didn't expect that anyone but that class would look at the videos. The class is an MBA class and it is an introduction to time series. In an introduction to time series analysis is not quite as "data driven" as "cross-sectional analysis". Here is what I mean, with cross-sectional data we have tools like R-squared, or generalized least squares to fix error disturbances, or other measures to "tweak" parameters. The "correction factors" in time series are analyst driven, that is alpha and beta, at the level of the course I'm teaching, are not estimated parameters as in cross sectional data they are simulated parameters. That is, these parameters are chose by altering the parameters and watching how the alterations impact the measure of error you are using. So, alpha and beta are not in some way being estimated at this point. (if this helps. Cross sectional data is the math of algebra to calculus. Heavily explored, yet stationary analysis. However, time series is the math of difference or differential equations. So, motion. It is possible that in a more advanced setting there may well be methods for choosing the alphas and the betas, but my own work and academic exploration has not taken me to that place yet.)

  • @soleilluh
    @soleilluh 2 ปีที่แล้ว

    Thank you for this, I was able to answer my predictive quiz. 🤍🤍