Optimal estimator for uncertainty-based measurement quality control
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| 003 | CHVBK | ||
| 005 | 20210128100306.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150401xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00769-015-1111-x |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00769-015-1111-x | ||
| 100 | 1 | |a Huang |D Hening |u Teledyne RD Instruments, 14020 Stowe Drive, 92064, Poway, CA, USA |4 aut | |
| 245 | 1 | 0 | |a Optimal estimator for uncertainty-based measurement quality control |h [Elektronische Daten] |c [Hening Huang] |
| 520 | 3 | |a This paper presents an optimal estimator for uncertainty-based measurement quality control. The optimal estimator is developed based on an acceptance probability approach under a risk balance criterion. It yields a balance between the false acceptance and false rejection when the measurement quality index is equal to unity. This paper also presents a minimum mean absolute percentage error (MAPE) estimator and a minimum mean squared percentage error estimator based on the frequentist decision-theoretic approach. The mathematical formulations for computing the MAPE, relative bias error (RBE), relative precision error (RPE), and root mean squared percentage error (RMSPE) of the three presented estimators and five existing estimators are derived. The performance of these estimators are compared and evaluated in terms of the false acceptance/rejection probability, MAPE, RBE, RPE, and RMSPE. Among the eight estimators considered, the presented optimal estimator is the most meaningful and the best estimator from the measurement quality control perspective. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2015 | ||
| 690 | 7 | |a Measurement quality control |2 nationallicence | |
| 690 | 7 | |a Small samples |2 nationallicence | |
| 690 | 7 | |a Uncertainty |2 nationallicence | |
| 690 | 7 | |a Uncertainty estimator |2 nationallicence | |
| 773 | 0 | |t Accreditation and Quality Assurance |d Springer Berlin Heidelberg |g 20/2(2015-04-01), 97-106 |x 0949-1775 |q 20:2<97 |1 2015 |2 20 |o 769 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00769-015-1111-x |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00769-015-1111-x |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 100 |E 1- |a Huang |D Hening |u Teledyne RD Instruments, 14020 Stowe Drive, 92064, Poway, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Accreditation and Quality Assurance |d Springer Berlin Heidelberg |g 20/2(2015-04-01), 97-106 |x 0949-1775 |q 20:2<97 |1 2015 |2 20 |o 769 | ||