Autoregressive model for forecast errors

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  • Опубликовано: 13 сен 2024

Комментарии • 16

  • @krischette4108
    @krischette4108 5 лет назад +3

    This video is fantastic! You’re better than my professor lol

  • @yuancheng3644
    @yuancheng3644 2 года назад

    Do feel RUclips is much better than the professor in uni..

  • @user-qt8ox4fl8h
    @user-qt8ox4fl8h 5 лет назад +10

    Madam, at time 9:38, the slide shows k > p. But your description implies that it should be k < p. Will you please see again? Thanks.

  • @markusnascimento210
    @markusnascimento210 2 года назад

    Very good!

  • @investwithvincent6329
    @investwithvincent6329 2 года назад

    3:00
    Why might a data analyst want to remove seasonality if all we need to do is remove the trend to make the data stationary?

  • @ramnareshraghuwanshi516
    @ramnareshraghuwanshi516 4 года назад

    well explained!! thanks mam :)

  • @AdnanKhan-kn6cx
    @AdnanKhan-kn6cx 3 года назад

    Maam please explain seperately limitations of these model.

  • @kaushikvankadkar8430
    @kaushikvankadkar8430 3 года назад

    Awesome

  • @ruslanjabrayilov7363
    @ruslanjabrayilov7363 3 года назад

    Mrs Galit, is your astrological sign Libra by any chance? :)

  • @TukangListrik606
    @TukangListrik606 4 года назад

    Professor Galit, may I have your email? I would like to learn more.