Bayesian statistical methods are being used increasingly often in measurement science,
similarly to how they now pervade all the sciences, from astrophysics to climatology, and …

Dissolved oxygen concentration in water is a crucial parameter to assess the condition or
evolution of an aquatic ecosystem health. This determination can be performed using an …

This paper presents a unified theory of measurement errors and uncertainties. The proposed
theory unifies the theory of errors with the theory of measurement uncertainties and merges …

Knowing material behavior is crucial for successful design, especially given the growing
number of next-generation energy, defense, and manufacturing systems operating in …

We regard the measurand (or influence quantity) as a random variable characterized by
central tendency and dispersion. We define 'propensity'as the sum of the central tendency …

The process of revising the Guide to the Expression of Uncertainty in Measurement (GUM) is
ongoing. A successful revision must be theoretically sound, so it must be based on a …

Stereo vision (SV) is widely used for noncontact three-dimensional industrial measurement.
In SV systems, camera orientation (the angles formed by the two cameras optical axes …

This chapter presents and explains the most used methodologies for the evaluation of
measurement uncertainty in metrology with practical examples. The main topics are basic …

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

One of the aims of the revision of the guide to the expression of uncertainty in measurement
(GUM), is to make it self-consistent as the current edition would combine frequentist and …