Thank you so much! I finally understand how to distinguish each distributions and their properties and functions! This is very helpful, thanks for your work!!
I'm a bit confused when to do a GLM with a log link vs just a log transform of Y. 11:29 suggests that if data have > variance with > mean, use log-transform of Y. However, the chart at 19:53 says that log link is appropriate when variance ~ mean, which is just another way of saying that variance gets bigger than mean, which contradicts the first point. What am I missing?
I've taken many stats courses and this is the most helpful by far!
Thank you so much! I finally understand how to distinguish each distributions and their properties and functions! This is very helpful, thanks for your work!!
I just wanna make emphasis on this, this is the first time I have been able to understand this as well
Good stuff. Well explained.
I'm a bit confused when to do a GLM with a log link vs just a log transform of Y. 11:29 suggests that if data have > variance with > mean, use log-transform of Y. However, the chart at 19:53 says that log link is appropriate when variance ~ mean, which is just another way of saying that variance gets bigger than mean, which contradicts the first point. What am I missing?
Literally save my life!! Many thanks!
Very nice. Thanks for sharing...
Thank you very much
Vielen Dank, thanks so much from overseas. :)
Thank you so much! This is so so so helpful!
This was just awesome...
Why do we take ln(y) in the log link and not the ln(mean(y)) at 8:31?
Hello, what are the advantages of GAMLSS over GLMs?