Fusion learning for inter-laboratory comparisons

DOI10.1016/J.JSPI.2017.09.011zbMath1383.62075OpenAlexW2760849472MaRDI QIDQ1698994

Peng Zhang

Publication date: 16 February 2018

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2017.09.011

zbMATH Keywords

gravitationmodel averaginggeneralized fiducial inferenceconfidence distributionsinter-laboratory trialskey comparison experimentsmeasurements of Newton's constant

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Parametric inference (62F99) Observational and experimental questions in relativity and gravitational theory (83B05)

Related Items (5)

Covariance estimation via fiducial inference ⋮ Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference ⋮ Bayesian model selection: application to the adjustment of fundamental physical constants ⋮ Confidence distributions and related themes ⋮ Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage

Cites Work

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• Fiducial inference on the largest mean of a multivariate normal distribution
• A fiducial approach to multiple comparisons
• Combining information from independent sources through confidence distributions
• A note on Dempster-Shafer recombination of confidence distributions
• The Dempster-Shafer calculus for statisticians
• Generalized fiducial inference for wavelet regression
• Confidence and Likelihood^*
• Models and Confidence Intervals for True Values in Interlaboratory Trials
• An Introduction to Coding Theory and the Two-Part Minimum Description Length Principle
• Tutorial: Using Confidence Curves in Medical Research
• Confidence Curves: An Omnibus Technique for Estimation and Testing Statistical Hypotheses

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