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- Thus, if value of is many (say >3) standard deviations
away from its mean, then the theoretical form is in doubt.
- The usual maximum likelihood method does not have this
advantage: remember L was unnormalized and so its value had no
significance for the goodness of fit.
- This is quite a difficult problem and an elementary discussion is
given in MacDonald notes, page 14 onwards.
- The only way to get a feeling for is to use it: so I
won't dwell here on the important techniques used to minimize
to get good theoretical parameters and estimate errors in the same. We
will come back to this later in the notes.
- Mathews and Walker solve the simplest problem, i.e., are
linear in theoretical parameters.
- We do an example of this below.
- Bevington or similar book should be read before tackling a real
problem.
Geoffrey Fox, Northeast Parallel Architectures Center at Syracuse University, gcf@npac.syr.edu