Nonlinear calibration transfer based on hierarchical Bayesian models and Lagrange Multipliers: Error bounds of estimates via Monte Carlo – Markov Chain sampling

The calibration of analytical systems is time-consuming and the effort for daily calibration routines should therefore be minimized, while maintaining the analytical accuracy and precision. The ‘calibration transfer’ approach proposes to combine calibration data already recorded with actual calibrat...

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