Quasi-Poisson and negative binomial regression models

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  • Опубликовано: 11 сен 2024

Комментарии • 25

  • @bbluca94
    @bbluca94 2 месяца назад +1

    Amazing explanation!

  • @viniciussilva2997
    @viniciussilva2997 2 года назад +6

    This is the best video about it I have ever seen! Thank you a lot.

  • @carolinacampos7988
    @carolinacampos7988 2 года назад +3

    Your explanations are so clear. I found your videos extremely helpful. I wish you success as you deserve to have a few million views soon. :)

  • @TheTrashcan1999
    @TheTrashcan1999 Год назад +1

    Great video, crystal clear explanations!!

  • @user-gu8kj4id7c
    @user-gu8kj4id7c 2 года назад

    Great explanation. Thanks for being "ambassador of statistics" on youtube!

  • @XtremeTerror100
    @XtremeTerror100 2 года назад

    Wow, finally i understand the mechanisms behind these regression models. Thank you!

  • @multitaskprueba1
    @multitaskprueba1 Год назад +1

    Fantastic! Thank you so much!

  • @RealMcDudu
    @RealMcDudu 3 года назад +1

    Very well done! Thank you!

  • @PJZWGuN3rRock
    @PJZWGuN3rRock 3 года назад +1

    Thank you! you solved many questions that I had.

  • @re_mamoste6779
    @re_mamoste6779 2 года назад +1

    Destê te sax be ... Thank you very much...

  • @andrewnguyen3312
    @andrewnguyen3312 9 месяцев назад +1

    Great video omg

  • @rayraystinz
    @rayraystinz 2 года назад +1

  • @po2943
    @po2943 6 месяцев назад

    Hi, can I ask you about the interpretation of the coefficient at the end. The video says it highlights the usage of quasi-poisson and NB model instead of poisson model. Is it because poisson model doesn’t capture the over-dispersed data and includes the intercept as it shows the p-value less than 0.05?

    • @tilestats
      @tilestats  6 месяцев назад

      Yes, it is because the Poisson model does not handle over-dispersion, which means that you will violate the assumption of the Poisson model where the variance should be equal to the mean.

  • @Kvinnmanoppo
    @Kvinnmanoppo Год назад

    Sir i want to ask to you. Is Quasi Poisson regression and Quasi Likelihood regression is different?🙏

    • @tilestats
      @tilestats  Год назад

      I would say that Quasi-Poisson is an example of Quasi Likelihood.

    • @Kvinnmanoppo
      @Kvinnmanoppo 9 месяцев назад

      Sir i have problem when proofing coefficient in poisson regression and quasi poisson regression are same. Are you have some tutorial to explain why this coefficient between that two models are same?. Can you explain that in mathematic calculation?🙏🙏. Maybe in excel software

  • @checkle1
    @checkle1 3 года назад

    fantastic