Eric Gilbert's PhD Syllabus
Good comments on how advisor/advisee should work together. Designed for CS but largely relevant for statistics.
Matthias Schonlau's advice on
how to finish a Ph.D. and more
Some people struggle a bit, some a lot,
some hardly at all. Others might not know
Gopen and Swan on the
science of scientific writing
Richard Hamming on
you and your research
Not a link, but I found the quote below in an article that I got from Wayne Oldford.
The article was by George Barnard from around 1989, when he was at Essex.
I can't find it on the web but
it was entitled "Some remarks on the elementary theory of tests of significance''.
Barnard is writing about V. P. Godambe:
Godambe, better than anyone else I know, appreciates the point often made to me
by R. A. Fisher, that in statistical inference, as distinct from mathematical
inference, there is a world of difference between the two statements "p is true"
and "p is known to be true".
It's really just about one more level of indirection but it can make
a difference about whether a proposed solution to a problem can actually be used.