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Introduction to generalized linear models 

Drew Tyre
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27 окт 2024

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Комментарии : 15   
@defaultdefault812
@defaultdefault812 4 года назад
Finally someone who explained what a link function is !
@Tweeteketje
@Tweeteketje 8 месяцев назад
Very clear and concise, thanks! Minor detail: the Greek letter at 5:00 is not 'nu', but 'eta'.
@nhlanhlamsongelwa4364
@nhlanhlamsongelwa4364 4 года назад
this is a really good explanation, especially of the link function. Thank you.
@MdAbdullahAlMuyid_nowho
@MdAbdullahAlMuyid_nowho 6 лет назад
So far the best intro on GLM... Thanks a lot. Great video : )
@rajendrakc5969
@rajendrakc5969 2 года назад
Thanks alot.. you gave a real life example of how glm helped better represent the data.
@oliverguggenbuhl4447
@oliverguggenbuhl4447 Год назад
jai jagannath
@andrej.mentel
@andrej.mentel 3 года назад
Great explanation, thank you!
@EagleSlightlyBetter
@EagleSlightlyBetter 6 лет назад
well done, thanks. Now on to Poisson videos!
@rampageRio
@rampageRio 4 года назад
This video is really helpful. Thank you for this. Love from India.
@DrewTyre
@DrewTyre 3 года назад
Glad it was helpful!
@abcpsc
@abcpsc 3 года назад
Thank you for the video. Is there any step by step demo of how to fit that model at the end of the video? I cant follow the part with error structure and confidence interval
@DrewTyre
@DrewTyre 3 года назад
Sorry, not at the moment, but I'll put it on my list of good ideas to implement.
@DrewTyre
@DrewTyre 3 года назад
In the meantime, maybe the week 5 lab at drewtyre.rbind.io/classes/NRES803/ will help
@abcpsc
@abcpsc 3 года назад
@@DrewTyre Thanks, looking forward to it. Just another idea: may be it is great to talk about how those link functions are derived?
@chiucalvin5254
@chiucalvin5254 4 года назад
thank you that was a really nice explanation
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