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Measurement errors and measurement 
uncertainty
One might assume that the concepts of error and uncertainty
are well enough known to be not worth discussing.
Nevertheless a
few comments are needed
(although for more details 
the DIN[1] and ISO[3,4] recommendations
should be consulted).
- The first concerns the terminology. In fact the words 
error and uncertainty are 
currently used almost  as synonyms: 
- ``error'' to mean  both error
and uncertainty (but nobody says ``Heisenberg
Error Principle''); 
- ``uncertainty'' only for the uncertainty.
 ``Usually'' we understand 
 what each is talking about, but a more precise 
use of these nouns would really help. This is strongly
called for
by the DIN[1] and ISO[3,4] recommendations. 
They state in fact that
- error is ``the result of a measurement minus a 
 true value of the measurand'' - it follows that 
 the error is usually 
 unkown;
- uncertainty is a ``parameter, associated with the result
 of a measurement, that characterizes the dispersion of the values that could
 reasonably be attributed to the measurand'';
 
 
- Within  the High Energy Physics community
there is an established
 practice for reporting the final uncertainty of a measurement in the form 
of standard deviation.
This is also recommended by the mentioned standards. 
However, this should be done 
at each step of the analysis, instead of estimating
 ``maximum error bounds'' and using
  them as standard deviation in the 
 ``error propagation''.
- The process of measurement is a complex one  and it is difficult 
to disentangle the different contributions which cause the total 
error. In particular, 
the active role of the experimentalist
is sometimes overlooked.
For this reason it is 
often incorrect to quote the (``nominal'') uncertainty due to the 
instrument as if it were the uncertainty
of the measurement.
 
 
 
 
 
 
 
  
 Next: Statistical inference
 Up: Bayesian inference applied to
 Previous: Bayesian inference applied to
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Giulio D'Agostini
2003-05-15