MEASUREMENT UNCERTAINTY AND SUMMARISING MONTE CARLO SAMPLES |
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| A. B. Forbes |
- Abstract:
- Many uncertainty evaluation applications require summary information about the distribution associated with the measurand. This paper looks at summarizing distributions on the basis of Monte Carlo samples and describes how relative entropy can be used as a measure of the effectiveness of the summary.
- Keywords:
- kernel density estimation, measurement uncertainty, mixture distribution, relative entropy
- Download:
- IMEKO-WC-2012-TC21-O4.pdf
- DOI:
- -
- Event details
- Event name:
- XX IMEKO World Congress
- Title:
Metrology for Green Growth
- Place:
- Busan, REPUBLIC of KOREA
- Time:
- 09 September 2012 - 12 September 2012