Re: WHY IS SOUND to get C.V.´s from Mont Carlo
- From: Jack Tomsky <jtomsky@xxxxxxxxxxxxx>
- Date: Thu, 29 Mar 2007 23:16:18 EDT
You are so… that you profit a clear misprint to blame
me. You know VERY WELL that my data was originated
from U(0,1) as I posted before and you was persuaded
that you should use 1.960 at +/- z/sqrt(n).
And you claim that you are a decent person! A decent
person, you are not, sure.
You have not sufficient moral category to teach. I
never met before (except Bob Ling) such a disgusting
person. True.
YOU KNEW VERY WELL THAT I SIMULATE UNIFORM DATA. VERY
WELL.
********
And about the REAL QUESTION OF THIS DISCUSSION: are
simulations able to reach the critical values of
sample statistics or you maintain (against the
FUNDAMENTAL THEOREM OF STATISTICS) they are not?
Read this point urgently PROFESSOR.
And about poitwise and uniform convergence, TOO.
__________licas (Luis A. Afonso)
Three times in your post, you stated that you were generating data from N(0,1) or from N(m,1). What are the odds that you would make the same typo three times in a row? I am such a decent person that I take what you write at face value.
Why waste time doing Monte Carlo simulations when there exist exact analytical solutions? For example, confidence limits on quantiles can be obtained from the noncentral t distribution. Confidence limits on the normal mean can be obtained from the normal (if the standard deviation is known) or the t (if the standard deviation is unknown). Confidence limits on the standard deviation from a normal can be obtained from the chi-square. Confidence limits on the exponential parameter can be obtained from the chi-square.
Jack
.
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- From: Luis A. Afonso
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