In order to do so, we need to consider the correlation structure of
the individual error sources.
Not exact matches
But the SEM is standard deviation of the results divided by the number of measurements... so your
individual errors are indeed accounted for, whether they are random or are from other
sources.
Thus I have discussed more the issue of what might be possible based on fragmentary data where
individual measurements are subject to many
sources of
error than what is the quality of the present knowledge.
While the
error in aggregate would not be as large as the
error for any given
individual station, I do not know why uncertainties in TOBs adjustments are not rolled into overall series uncertainties (though, being independent from other
sources of uncertainty, they would be added in quadrature).
Individuals who have been injured in a rail accident caused by human
error may be able to seek compensation from a variety of
sources, including railway companies, the town or city in which the accident occurred, or, in the case of the Ottawa collision, the public transportation provider involved.
Item parcels generally lead to more parsimonious models, reduce the chances for double loadings to occur, diminish the impact of the various
sources of sampling
error, and are less likely than
individual items to violate the assumption of normal distribution (e.g., Little et al. 2002).