EMUE-D2-4-NanoparticleHeightMeasurements

This example presents an uncertainty evaluation of nanoparticle size by AFM, by means of an optimised Design of Experiment for a hierarchical mixed model in a Bayesian framework approach. It can be particularly useful to adapt to cases of uncertainty evaluation when no measurement model is available. Traceability (calibration) and uncertainty evaluation are both considered. Attention is also given to optimization of measurement time, by using an optimized design of experiment; which might be particularly useful for commercial application of this model: accredited calibration service, for example.

The files of this dataset comprise supporting information to the example EMUE-D2-4-NanoparticleHeightMeasurements of uncertainty evaluation of the compendium made by the EMUE consortium (Euramet EMPIR project EMUE).

It is also related to example EMUE-D5-1-PixelVoxelUncertainty, also present on Zenodo.

The LaTeX source of the document is also attached to the document.

The uncertainty evaluation explained in the document can be done by the user, using data files and R code present in the docuemnt.

Comments inside the file provide further explanations.

Please contact the authors for any question you might have about the following content and its possible use.

Nanoparticle_run.R: Nanoparticle R script of uncertainty evaluation. It runs the Nanoparticle_model.stan stan model on data from Nanoparticle_data.csv and Nanoparticle_fixedEffects_coding.csv.

Nanoparticle_model.stan: Stan model for the statistical model and the associated derived quantities

Nanoparticle_data.csv: Raw AFM measurement data for nanoparticles

Nanoparticle_fixedEffects_coding.csv: Effect-type coding of the fixed effects.

Nanoparticle_evaluation.RData: Result of the MCMC estimation (model fitting), as produced by the script Nanoparticle_run.R for a small chain estimation