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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!
C'est la meilleure explication de l'estimation avec la méthode de maximum de vraisemblance ¡ Vraiment merci........... bonne continuation.
The best explanation on youtube. Thanks.
Very well explained! Thank you!
amazing job done right here, thanks
What a great series on MLE, I now understand the concept in great detail, thanks a million!
Really loved it ❗ Thank you sir ❤️
best video on maximum likelihood
This was really helpful. Thank you 😊
Thanks for such a thorough explanation
very good explanation.
Thank you so much for this!
Amazing video
Amazing😊
Great video! Ty so much!
thank you for sharing this
Why do we use the product
how to check if it is consistent?
Thanks bro You are a life saver
Amazing! Thank you. I have a question though, wouldn't log (Π xi!) be ∑log(xi!) ?
Yes it is, it doesn't matter though because it falls away when we take the derivative.
Nope, we only introduce sigma when dealing with powers
Superbe, merci infiniment.
Awesome
Thank you for this.
Thanks mate really helpful.
Could you do one for weibull distribution? 🙏🏻🙇🏻
Epic!
Why do you go with log likelihood function ? You find the same result directly with the initial formula for likelihood.
First of all, it makes differentiation way easier, and also gives the same result
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!
C'est la meilleure explication de l'estimation avec la méthode de maximum de vraisemblance ¡ Vraiment merci........... bonne continuation.
The best explanation on youtube. Thanks.
Very well explained! Thank you!
amazing job done right here, thanks
What a great series on MLE, I now understand the concept in great detail, thanks a million!
Really loved it ❗ Thank you sir ❤️
best video on maximum likelihood
This was really helpful. Thank you 😊
Thanks for such a thorough explanation
very good explanation.
Thank you so much for this!
Amazing video
Amazing😊
Great video! Ty so much!
thank you for sharing this
Why do we use the product
how to check if it is consistent?
Thanks bro
You are a life saver
Amazing! Thank you.
I have a question though, wouldn't log (Π xi!) be ∑log(xi!) ?
Yes it is, it doesn't matter though because it falls away when we take the derivative.
Nope, we only introduce sigma when dealing with powers
Superbe, merci infiniment.
Awesome
Thank you for this.
Thanks mate really helpful.
Could you do one for weibull distribution? 🙏🏻🙇🏻
Epic!
Why do you go with log likelihood function ? You find the same result directly with the initial formula for likelihood.
First of all, it makes differentiation way easier, and also gives the same result