Uncertainty analysis for model simulations is assuming a growing importance in the field of water quality management. The importance of this concern is provided by recent public awareness over health risks from improper disposal of toxic wastes as well as by the continuing emphasis on risk assessment. The first step in the chain of the risk assessment is the quantification of the error in predi...

Exposure measurement error represents one of the most important sources of uncertainty in epidemiology. When exposure uncertainty is not or only poorly accounted for, it can lead to biased risk estimates and a distortion of the shape of the exposure-response relationship. In occupational cohort studies, the time-dependent nature of exposure and changes in the method of exposure assessment may c...

The paper concerns the analysis and the design of the measurement process by which position tolerances on mechanical parts are checked by Coordinate Measuring Machines (CMM). This measurement process is widely used in industry and conditions the good functioning of millions of components, assemblies and systems. CMMs inspect parts by exploring their surface at a small number of points and retur...

The performance of 17 recent detailed reaction mechanisms describing the interactions methanol and formaldehyde with nitrogen oxides in combustion systems was investigated based on large number literature experimental data covering a wide range conditions. This collection consists 2552 points concentration profiles 243 datasets measured jet stirred reactors, tubular flow shock tubes. two best w...

The International vocabulary of metrology - Basic and general concepts and associated terms (VIM3, 2.26 measurement uncertainty, JCGM 200:2012) defines uncertainty of measurement as a non-negative parameter characterizing the dispersion of the quantity values being attributed to a measurand, based on the information obtained from performing the measurement. Clinical Laboratory Standards Institu...

Clinical and population research on dementia and related neurologic conditions, including Alzheimer's disease, faces several unique methodological challenges. Progress to identify preventive and therapeutic strategies rests on valid and rigorous analytic approaches, but the research literature reflects little consensus on "best practices." We present findings from a large scientific working gro...