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
Literally save my life!! Many thanks!
Good stuff. Well explained.
Vielen Dank, thanks so much from overseas. :)
Very nice. Thanks for sharing...
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?
Thank you so much! This is so so so helpful!
This was just awesome...
Thank you very much
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?