Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

“Medicine is a science of uncertainty and an art of probability” claimed William Osler. 1, 2
History, physical examination, imaging, electrocardiogram, and laboratory investigations are …

The plausibility of data from networks of low-cost measurement devices is a growing and
important contentious issue. Informal networks of low-cost devices have particularly come to …

Interlaboratory studies in measurement science, including key comparisons, and meta-
analyses in several fields, including medicine, serve to intercompare measurement results …

The NIST Uncertainty Machine (http://uncertainty. nist. gov) is a web-based software
application produced by the National Institute of Standards and Technology (NIST) to …

Measurement uncertainty analysis based on combining the state-of-knowledge distributions
requires evaluation of the probability density function (PDF), the cumulative distribution …

Against the tradition, which has considered measurement able to produce pure data on
physical systems, the unavoidable role played by the modeling activity in measurement is …

Abstract The Guide to the Expression of Uncertainty in Measurement (GUM) has proven to
be a major step towards the harmonization of uncertainty evaluation in metrology. Its …

This paper compares three approaches for computing measurement uncertainties: GUM's
confidence interval (CI) based approach, Bayesian approach, and probability interval (PI) …

A virtual experiment simulates a real measurement process by means of a numerical model.
The numerical model produces virtual data whose properties reflect those of the data …