Using Bayesian analysis to quantify and reduce uncertainty in experimental measurements — A narrow-angle radiometer case study

Using Bayesian analysis to quantify and reduce uncertainty in experimental measurements — A narrow-angle radiometer case study

Formal uncertainty analysis is an important but sometimes overlooked component of experimental work. Without quantified uncertainty, it is difficult to draw definitive conclusions from the experimental data, as a lack of formal uncertainty analysis leaves the reliability of the data unknown. An adde...

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Bibliographic Details
Main Authors: Teri S. Draper, Jennifer P. Spinti, Philip J. Smith, Terry A. Ring, Eric G. Eddings
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Measurement: Energy
Subjects:
Bayesian uncertainty quantification
Uncertainty reduction
Biomass co-firing
Pulverized-coal
Industrial power generation
Radiometer
Online Access:http://www.sciencedirect.com/science/article/pii/S2950345025000107
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