Re: Experienced Statistician to help decide whether a regression is legitim


Anahita wrote:
As Bob says, hire somebody
like OMU to help you out.


Indeed why not.. if the time comes I shall call on you!


The fact that I am giving FREE consulting (and getting annoyed and
abused by the malpractice posters <G> )

I was wondering when you would come up with that :-)))
But then you are revealing your quality and increasing the chance that people will call you for consulting :-) this is marketing :-))

I thought you were going to say I DECREASED my chance that
people will call me for consulting because they can't stand
anyone who will tell the truth rather than buttering them up
for whateer they want to hear, for the FEE. :-)

No, my marketing days are long over. Else, I would be so busy
consulting for big bucks instead of giving FREE lectures and
gets paid by disgruntled NOISE.


If "mathematical statistics" consulting jobs were
offered to me, I would probably pass them to Herman Rubin,
or Jack Tomsky, or some of the mathematicians or math
statisticians who seldom venture into the trenches of
sci.stat.math/ed/consult. :-)

Do not be so harsh on them...

I am glad you made that comment so that I can clarify what I
meant! I meant that to be my compliment and endorsement
of Herman and Jack as "mathematical statisticians". Mathematical
Statistics has its role in the world, just as pure mathematics has.
What I meant was that in my OPINION, they are much better
"mathematical statisticians" than I am, without actually implying
or saying how good or bad an applied statistician they may be --
though I might have said that a time or two about Herman when
he said "measure theory" of the Halmos-Loeve level is necessary
to do good Applied Statistical work -- that was when I disagreed
with his OPINION completely and distrust him as an applied
statistician even though he claims himself to be one.

So, there was nothing derogatory intended or implied about
"mathematical statistics" or Herman and Jack (which was
definitely INTENDED to be nothing but complimentary).

If you thought that was related towhat I had said repeatedly
about m00es, that would be because you haven't been in this
group for long. In mathematical statistics, m00es might be
at the beginning graduate level -- not within 30 years the
level or expertise of Herman or Jack. Moreover,m00es is
the kind who gives "mathematical statistics" a bad name
because he pretends to know what it means in practice when
he has absolutely no idea what applied statistics is about.

I think THAT should make my comments about Herman and
Jack, and m00es, absoutely unambiguous and clear. :-)


I would also rather stay away from applied stats... if I had not chosen to quit academia as well (I did among others combinatorics)..

That perhaps is the reason of your uncertainty about applied
statistics and what is and what should be done.

If you had stayed in pure math or math/stat, you could have
proudly made the statement as Hardy and Littlewood, "May
this result NEVER find any application" as their badge of
honor. :-) And I would have respected you for your
believe, as I respected the Russian who had just won the
Field's medal for proving Poincare's Conjecture which
remained unsolved for over a century. Both the conjecture
and the proof are absolutely worthless in PRACTICE, but
they are monumental accomplishments in topology and in
pure mathematics. If either of them had pretended that
because of Poincare's conjecture, they can do applied
mathematics, then I would have laughed at the faces.

C'est la difference, mon amiee.

Now consulting, playing lottery hoping to win and then go back to research :-))) self financed! and free to do what i would want to do.

That's the PRICE of Freedom. ;-) That may also IN PART
explain the difficulty with your consulting problem because it
is not exactly the type research mathemtical statisticians can
normally handle without breaking their necks.

I wish you LUCK and lots of it in your lottery. :-) That's the
best I can do there.

-- Reef Fish Bob.

Obviously the companies have great "gobs" of cash
available for this. Its
just a matter of spending dollars where it is
important, and most older
companies are really, really bad at where they put
there money. There is too
much management ego and management salaries that
totally blocks effective
progress. They are like Ford and General Motors.

David Heiser

As a matter of fact, when I was talking about Harry
Roberts and the fact
that some BIG corporations REQUIRE their top
management personnel
to have at least several courses in advanced
statistics, I was thinking
that both Ford and General Motors were among those
big corporations!

-- Reef Fish Bob.


.