A 0:46 +0100 19/12/01, Marcus Schneider a écrit:
>[...] help me to find appropriate data or point me to something helpful...
I always consider as very useful, if not a necessary step, to built a fully
hand-made (or brain-made :-)) set of "data", with all the characteristics
well known, because you monitor them, except maybe some part of random
noise or probability driven parameters (e.g. it could be the locations of
sampling). So, your statistical treatment(s) should be able to find what
you know being there !
Moreover, a priori sensitivity analysis is, from that point, and specially
if your test set of data is somehow "not too far" from the real sets of
data, just the next step, with systematics or Monte Carlo repeated
variations of the same procedure.
>Last I have to apologize fo my bad english.
So do I !
+=[ Éric LEWIN <mailto:eric.lewin@...
> Tél: (33/0)4 76 63 59 13 ]=+
| \ >>>>> LGCA <<<<< / |
| === OSUG === \ Labo. de Géodynamique / === UJF === |
| Observatoire des Sciences \ des Chaînes Alpines / Université Joseph |
+= de l'Univers de Grenoble ===\= Grenoble (France) =/== Fourier, Grenoble-1 =+
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