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Convergence of techniques for the evaluation of discrepant data
Desmond MacMahon1, Andy Pearce, Peter Harris
1National Physical Laboratory, Queens Road, Teddington, Middlesex, TW11 0LW, UK. desmond.macmahon@npl.co.uk
Summary
This study evaluates discrepant data using statistical methods, finding that techniques converge to true values as data increases. Robustness testing confirmed median-based evaluation for strontium-90 (Sr-90) and cesium-137 (Cs-137) half-lives.
Area of Science:
- Nuclear physics and radiochemistry
- Statistical data analysis
Background:
- Evaluating discrepant scientific data is crucial for accurate results.
- Statistical robustness of evaluation techniques is increasingly important.
- Median-based methods offer improved robustness for data evaluation.
Purpose of the Study:
- To assess and compare various techniques for evaluating discrepant data.
- To test the statistical robustness of different evaluation methods.
- To determine accurate half-lives for Strontium-90 (Sr-90) and Cesium-137 (Cs-137).
Main Methods:
- Applied several data evaluation techniques to discrepant datasets.
- Utilized convergence rate as a measure of evaluation technique robustness.
- Tested methods on measured half-life data for Sr-90 and Cs-137.
Main Results:
- All evaluated techniques showed convergence towards true values with increasing dataset size.
- The median-based evaluation technique demonstrated good statistical robustness.
- The study derived new half-life values: Sr-90 (10,551±14 days) and Cs-137 (10,981±11 days).
Conclusions:
- Data evaluation techniques converge with increasing data volume.
- Median-based methods are robust for analyzing discrepant datasets.
- The derived half-lives for Sr-90 and Cs-137 are refined based on robust statistical analysis.