Maximum Likelihood Estimation for the Poisson Distribution

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  • Опубликовано: 5 янв 2025

Комментарии • 30

  • @rostli1
    @rostli1 2 года назад +16

    I am still not 100% sure what I am doing in this Stats class I am currently taking... but I REALLY appreciate these videos because they are way more helpful that the book I am using! Thank you thank you thank you!

  • @rachdabourouga9396
    @rachdabourouga9396 2 года назад +4

    C'est la meilleure explication de l'estimation avec la méthode de maximum de vraisemblance ¡ Vraiment merci........... bonne continuation.

  • @cardscook7721
    @cardscook7721 8 месяцев назад +2

    The best explanation on youtube. Thanks.

  • @hsinyulou1455
    @hsinyulou1455 2 года назад +5

    Very well explained! Thank you!

  • @joaomarquesification
    @joaomarquesification Месяц назад

    amazing job done right here, thanks

  • @pauleseme8406
    @pauleseme8406 2 года назад +3

    What a great series on MLE, I now understand the concept in great detail, thanks a million!

  • @user-cd5bt3kt7q
    @user-cd5bt3kt7q Год назад +2

    Really loved it ❗ Thank you sir ❤️

  • @morningshiindi7496
    @morningshiindi7496 7 месяцев назад

    best video on maximum likelihood

  • @mfonobongakpan2365
    @mfonobongakpan2365 3 года назад +3

    This was really helpful. Thank you 😊

  • @BR-pj3xk
    @BR-pj3xk Год назад

    Thanks for such a thorough explanation

  • @kumolpaul9358
    @kumolpaul9358 3 года назад +1

    very good explanation.

  • @jsc0625
    @jsc0625 11 месяцев назад

    Thank you so much for this!

  • @hdrevolution123
    @hdrevolution123 7 месяцев назад

    Amazing video

  • @zocyus
    @zocyus 2 года назад

    Amazing😊

  • @DrewN-xn7kn
    @DrewN-xn7kn 8 месяцев назад

    Great video! Ty so much!

  • @airdzhang6632
    @airdzhang6632 2 года назад

    thank you for sharing this

  • @IsaacKalyango-mb5pn
    @IsaacKalyango-mb5pn 7 месяцев назад

    Why do we use the product

  • @SkaiDex
    @SkaiDex Год назад

    how to check if it is consistent?

  • @lekatimi6702
    @lekatimi6702 3 года назад

    Thanks bro
    You are a life saver

  • @lucassoares6972
    @lucassoares6972 2 года назад +2

    Amazing! Thank you.
    I have a question though, wouldn't log (Π xi!) be ∑log(xi!) ?

    • @fakenewspropagator7887
      @fakenewspropagator7887 Год назад

      Yes it is, it doesn't matter though because it falls away when we take the derivative.

    • @Thato_maureen
      @Thato_maureen 3 месяца назад +1

      Nope, we only introduce sigma when dealing with powers

  • @rachdabourouga9396
    @rachdabourouga9396 2 года назад

    Superbe, merci infiniment.

  • @abcd-pk8qk
    @abcd-pk8qk Год назад

    Awesome

  • @davematthews100
    @davematthews100 3 года назад

    Thank you for this.

  • @primeslayer6673
    @primeslayer6673 3 года назад

    Thanks mate really helpful.

  • @weitzun9691
    @weitzun9691 Год назад

    Could you do one for weibull distribution? 🙏🏻🙇🏻

  • @gjworman
    @gjworman 2 года назад

    Epic!

  • @adrienmau8082
    @adrienmau8082 Год назад

    Why do you go with log likelihood function ? You find the same result directly with the initial formula for likelihood.

    • @peterwauyo2424
      @peterwauyo2424 Год назад

      First of all, it makes differentiation way easier, and also gives the same result