Errors vs. Residuals

I know, for many of us, when we first encounter these two terms it is a bit hard to understand the difference, especially because sometimes both unobserved errors, but also residuals are simply called “errors”.

Therefore, a statistical error (also called disturbance) of an observed value is the deviation from the true (unobservable) value of a quantity of interest (i.e. a population mean).

Residual (fitting deviation) is an observable estimate of the unobservable statistical error, English speaking residual is the difference between the observed value and the estimated value of the quantity of interest.



Posted in UsefulStuff

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

%d bloggers like this: