[HTML][HTML] Uncertainty in measurement: a review of Monte Carlo simulation using Microsoft Excel for the calculation of uncertainties through functional relationships …
I Farrance, R Frenkel - The Clinical Biochemist Reviews, 2014 - ncbi.nlm.nih.gov
Abstract The Guide to the Expression of Uncertainty in Measurement (usually referred to as
the GUM) provides the basic framework for evaluating uncertainty in measurement. The …
the GUM) provides the basic framework for evaluating uncertainty in measurement. The …
High-performance organic photovoltaic cells under indoor lighting enabled by suppressing energetic disorders
Organic photovoltaic (OPV) cells have exhibited great advantages for indoor applications.
However, large energetic disorder restricts the performance of OPV cells under low …
However, large energetic disorder restricts the performance of OPV cells under low …
The top-down approach to measurement uncertainty: which formula should we use in laboratory medicine?
F Martinello, N Snoj, M Skitek, A Jerin - Biochemia Medica, 2020 - hrcak.srce.hr
Sažetak Introduction: By quantifying the measurement uncertainty (MU), both the laboratory
and the physician can have an objective estimate of the results' quality. There is significant …
and the physician can have an objective estimate of the results' quality. There is significant …
Adaptive Monte Carlo and GUM methods for the evaluation of measurement uncertainty of cylindricity error
X Wen, Y Zhao, D Wang, J Pan - Precision Engineering, 2013 - Elsevier
Measurement uncertainty is one of the most important concepts in geometrical product
specification (GPS). The “Guide to the expression of uncertainty in measurement (GUM)” is …
specification (GPS). The “Guide to the expression of uncertainty in measurement (GUM)” is …
Comparison of GUM and Monte Carlo methods for evaluating measurement uncertainty of perspiration measurement systems
A Chen, C Chen - Measurement, 2016 - Elsevier
Measurement uncertainty is an important parameter to express measurement results
including means and reliability. The uncertainty analysis of the biomedical measurement …
including means and reliability. The uncertainty analysis of the biomedical measurement …
Addressing uncertainty on machine learning models for long-period fiber grating signal conditioning using Monte Carlo method
FO Barino, AB Dos Santos - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The massive adoption of machine learning (ML) and artificial intelligence models in the field
of instrumentation and measurement has raised several doubts concerning the validity of …
of instrumentation and measurement has raised several doubts concerning the validity of …
Evaluation of measurement uncertainty based on grey system theory for small samples from an unknown distribution
LF Han, WY Tang, YM Liu, J Wang, CF Fu - Science China Technological …, 2013 - Springer
To evaluate measurement uncertainty for small sample size and measurement data from an
unknown distribution, we propose a grey evaluation method of measurement uncertainty …
unknown distribution, we propose a grey evaluation method of measurement uncertainty …
A Monte Carlo method for analyzing systematic and random uncertainty in quantitative nuclear magnetic resonance measurements
G Khirich - Analytical Chemistry, 2021 - ACS Publications
Quantitative nuclear magnetic resonance (qNMR) is a powerful analytical technology that is
capable of quantifying the concentration of any analyte with exquisite accuracy and …
capable of quantifying the concentration of any analyte with exquisite accuracy and …
Measurement uncertainty calculations for pH value obtained by an ion-selective electrode
J Wiora, A Wiora - Sensors, 2018 - mdpi.com
An assessment of measurement uncertainty is a task, which has to be the final step of every
chemical assay. Apart from a commonly applied typical assessment method, Monte Carlo …
chemical assay. Apart from a commonly applied typical assessment method, Monte Carlo …
Combining Nordtest method and bootstrap resampling for measurement uncertainty estimation of hematology analytes in a medical laboratory
M Cui, L Xu, H Wang, S Ju, S Xu, R Jing - Clinical Biochemistry, 2017 - Elsevier
Background Measurement uncertainty (MU) is a metrological concept, which can be used for
objectively estimating the quality of test results in medical laboratories. The Nordtest guide …
objectively estimating the quality of test results in medical laboratories. The Nordtest guide …