Combining Results From Multiple Evaluations of the Same Measurand

Area of Science:

• Metrology and Measurement Science
• Statistical Analysis in Science
• Uncertainty Quantification

Background:

• Measurement results include a value and standard uncertainty, representing a probability distribution.
• Metrological compatibility assesses the agreement between multiple measurements of the same quantity.
• Combining results from different evaluations is often necessary in scientific and industrial applications.

Purpose of the Study:

• To introduce a novel approach for calculating a combined measurement result.
• To ensure the proposed combined result is metrologically compatible with individual contributing results.
• To provide a framework for harmonizing multiple evaluations of the same measurand.

Main Methods:

• Leveraging the principles outlined in the Guide to the Expression of Uncertainty in Measurement (GUM).
• Applying the concept of metrological compatibility as defined in the International Vocabulary of Metrology, third edition (VIM3).
• Developing a specific algorithm or procedure for combining measurement data.

Main Results:

• A method for determining a combined measurement result has been proposed.
• The proposed method yields a combined result that is demonstrably compatible with the input measurements.
• The approach facilitates the synthesis of information from multiple measurement sources.

Conclusions:

• The developed approach offers a reliable way to obtain a unified measurement result.
• This method enhances the consistency and comparability of scientific data.
• It addresses the need for compatible combined results in metrology.