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Example II --
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COMPUTATIONAL SCIENCE SIMULATION
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Formulae
Errors in
We can find errors in
in either of two ways:
1. regard
as a function of
and calculate standard deviation from central limit theorem.
2. shape of likelihood
We have
-
as far as shape of
L
is concerned.
(Independent of
a
plus no terms linear in
due to ``maximum'' condition
).
i.e., this above formula implies that
A
is error matrix for
a
.
Geoffrey Fox
,
Northeast Parallel Architectures Center
at Syracuse University,
gcf@npac.syr.edu
in either of two ways:
1. regard 
as a function of 
and
calculate standard deviation from central limit theorem.
2. shape of likelihood
(Independent of a plus no terms linear in 
due to
``maximum'' condition 
).