Clarification: the Poisson coefficient beta is the difference between the log expected counts beta=log(mu_(x+1))-log(mu_x). Reworking this expression the percent change in counts equals (mu_(x+1)-mu_x)/mu_x=exp(beta)-1. That's why at 4:18 and 6:02 in the video, I interpreted the coefficient approximately as a percent change in counts.
Clarification: the Poisson coefficient beta is the difference between the log expected counts beta=log(mu_(x+1))-log(mu_x). Reworking this expression the percent change in counts equals (mu_(x+1)-mu_x)/mu_x=exp(beta)-1. That's why at 4:18 and 6:02 in the video, I interpreted the coefficient approximately as a percent change in counts.
Dear professor Ani Katchova excellent lecture!
You present a didatic and objetive description of concepts and procedures. Congratullations!
Thank you so much for your video. It is very helpful and informative. I followed your guidance and applied for my project.
Thank you , your video help me so much!!
Great vids. Thank you so much!