A non-Bayesian predictive approach for statistical calibration

DOI10.1080/00949655.2010.545060zbMath1318.62068OpenAlexW2133151486MaRDI QIDQ4912034

R. J. Biscay, Noslen Hernández, Isneri Talavera

Publication date: 21 March 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2010.545060

zbMATH Keywords

calibrationnon-Bayesian predictive densitynon-Bayesian predictive likelihood

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (1)

An effective approach to linear calibration estimation with its applications

Uses Software

• chemCal

Cites Work

• The calibration problem as an ill-posed inverse problem
• Statistical inference in science
• Approximation Theorems of Mathematical Statistics
• On the Difference Between the Classical and Inverse Methods of Calibration
• New simulation results for the calibration and inverse median estimation problems
• A note on the inverse estimator for the linear calibration problem
• An Analysis of the Linear-Calibration Controversy from the Perspective of Compound Estimation
• Statistical Calibration: A Review
• Elimination of the Bias in the Course of Calibration
• Predictive fit for natural exponential families
• Classical and Inverse Regression Methods of Calibration in Extrapolation
• On Inverse Estimation in Linear Regression
• On the Problem of Calibration
• The Interpretation of Certain Regression Methods and Their Use in Biological and Industrial Research
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