Measurements of any kind, in any experiment, are always subject to uncertainties or errors, as they are  more often called. Measurement process is, in fact, a random process described by an abstract probability distribution whose parameters contain the information  desired. The results of a measurement are then samples from this distribution which allow an estimate of the theoretical parameters. In this view, measurement errors can be seen then as sampling errors.