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- This is standard and (often) fully correct (best) method for
combining results from several experiments.
- It is, in fact, used (because it is easy conceptually and for
computer) even when it is inapplicable,
- e.g., if there are correlations between supposed
``independent'' random variables
- or if the basic experiments have too few events to be
Gaussian.
- The problem to be solved is: given N experimental measurements
and errors plus estimates of the , which
are functions of theoretical parameters.
- Find best values of theoretical parameters.
Geoffrey Fox, Northeast Parallel Architectures Center at Syracuse University, gcf@npac.syr.edu