Here's an example of what I mean by "model-free" in the context of
confidence interval calculations:
> Vincent Granville asked 16 March 2012 00:40: "should general linear models
> (for statistical inference) still be taught? Shouldn't the curriculum
> focus on sophisticated computer-intensive simulations ... The advantages
> are: ... model-free, non parametric approach, applies to any type of
> My bugbear is the confusion created by the phrase "general linear model",
> promoted by eg SAS, which is a limited subset of "generalized linear
> models". The latter *should* be taught. The suggestion that simulations
> are model-free and non-parametric (ie distribution free) is irrational.
> How can you run a simulation without a model based on distributions?
> This email and any attachments are intended for the named recipient only.
> Its unauthorised use, distribution, disclosure, storage or copying is not
> If you have received it in error, please destroy all copies and notify the
> sender. In messages of a non-business nature, the views and opinions
> expressed are the author's own
> and do not necessarily reflect those of Cefas.
> Communications on Cefas’ computer systems may be monitored and/or
> recorded to secure the effective operation of the system and for other
> lawful purposes.
Vincent Granville, Ph.D.
Executive Director, Founder
[log in to unmask]
You may leave the list at any time by sending the command
to [log in to unmask], leaving the subject line blank.