Skip to main content
13 events
when toggle format what by license comment
May 25, 2017 at 16:23 history edited Dinidiniz CC BY-SA 3.0
deleted 80 characters in body
May 24, 2017 at 21:45 answer added LmnICE timeline score: 1
May 24, 2017 at 21:33 history edited Dinidiniz CC BY-SA 3.0
added 80 characters in body
May 24, 2017 at 21:04 history edited Dinidiniz CC BY-SA 3.0
Add example to the question
May 24, 2017 at 20:58 history edited Dinidiniz CC BY-SA 3.0
Add example to the question
May 24, 2017 at 20:56 comment added Dinidiniz I will edit with an example. I just want to know why normally we don't include $b_i$ in the models to predict $b_{i+1}$. Is it wrong in someway?
May 24, 2017 at 20:53 comment added Dinidiniz @MichaelChernick I am not a Statistician, so correct me if I am wrong. When we make the linear regression to understand the constant $\alpha$ or the growth rate, we will have a intercept and slope. In this case the intercept will "include" the error, thus making it expected value be zero.
May 24, 2017 at 20:39 comment added LmnICE I'm confused: if $b_i$ is an observed value, then it's by definition real life data. Are both $b_i$ and $x_i$ observed variables (i.e. they are measured separately), or is $x_i$ measured then used to calculate $b_i$ in conjunction with some prior knowledge about $\alpha$?
May 24, 2017 at 20:32 comment added Michael R. Chernick Where is the error term in the linear relationship?
May 24, 2017 at 20:31 comment added Guilherme Marthe Also from your third equation, a loglog regression seems to make sense.
May 24, 2017 at 20:30 comment added Guilherme Marthe Can't you create a meaningful series/variable using both x and b?
May 24, 2017 at 20:24 review First posts
May 24, 2017 at 20:32
May 24, 2017 at 20:21 history asked Dinidiniz CC BY-SA 3.0