Search All of the Math Forum:
Views expressed in these public forums are not endorsed by
NCTM or The Math Forum.



Re: Basic GLM Question
Posted:
Apr 9, 2013 2:53 PM


On Mar 31, 4:33 am, SChapman <sumant...@googlemail.com> wrote: > Sorry, my question wasn't clear. > > Why is that in Generalised Linear Model we don't predict individual response variable values Yi? We only predict the conditional expectation E[Yi]. > > In a general linear model (simple linear regression) however all text books give formula for predicting Yi as well as E[Yi].
If b is the vector of estimated model coefficients and x is a vector of predictor scores for an individual then g(x'b) is the predicted response for that individual, where g() is the inverse link function.
If C is the estimated covariance matrix of the coefficients and z is the 1alpha/2 quantile of the standard normal distribution then g(x'b +/ z*sqrt(x'Cx)) is a 1alpha confidence interval for the response.
Look for a package that does that for you.



