Handling of skewed probability distributions for measurement uncertainties

Reference number 2018-04572
Coordinator RISE Research Institutes of Sweden AB - Mätteknik Borås
Funding from Vinnova SEK 860 000
Project duration December 2018 - January 2021
Status Ongoing

Purpose and goal

Aim: Develop a mathematical procedure for handling skewed distributions for measurement uncertainties. Improve estimations of of measurement uncertainties by considering skewness in the distributions. Increase the knowledge of skewness i measurement uncertainties. Objective: Develop a mathematical procedure for handling skewed distributions for measurement uncetainties. Increase knowledge of skewness in measurement uncertainties, and illustrate the relation between normal and log-normal distributions.

Expected results and effects

Improved evaluations of measurement uncertainties and their distributions at large measurement uncertainties that can occur in chemical analysis. Improved understanding of skewed uncertainty distributions.

Planned approach and implementation

A procedure that is intended to be used on data from control charts that describes intermediate precision that is easily accesable will be proposed. The following steps will be included: Development and optimization of an algorithm that make it possible to transform data to a normal distributed data set Characterization of the algorithm Application of the algorithm on small data sets (typically containing 100 data that corresponds to data in control charts) Discussion of issues, limitations and applicability

The project description has been provided by the project members themselves and the text has not been examined by our editors.