- ... analysis.
^{1} - Based on the series of lectures ``Statistical methods for
frontier physics'' given at the VI LNF Spring School
``Bruno Touscheck'', Frascati, Italy, May 2001.
Email:

`dagostini@roma1.infn.it`. URL:`http://www-zeus.roma1.infn.it/agostini.`. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

- ... rules
^{2} - Note that the translation
of these rules into ``confidence'' is not straightforward,
unless the log-likelihood (or the ) has a nice
parabolic shape and all values where the likelihood
finally concentrates are initially considered about equally likely.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

- ...
37\%.
^{3} - This value should be compared with 39.3%
obtainable in the case of a perfect 2-D Gaussian, thus indicating
that the final distribution comes out
__naturally__approximatively of that kind.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .