  A theory of measurement uncertainty is presented, which, since it is based
exclusively on the Bayesian approach and on the subjective concept of
conditional probability, is applicable in the most general cases.
  The recent International Organization for Standardization (ISO)
recommendation on measurement uncertainty is reobtained as the limit case in
which linearization is meaningful and one is interested only in the best
estimates of the quantities and in their variances.
