Relative uncertainty-based Bayesian interlaboratory consensus building
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
An interlaboratory comparison is typically conducted among the laboratories for the purpose of providing quality assurance and control. To solve the interlaboratory agreement problem, a distinct type of metrological challenge, a new uncertainty-based Bayesian strategy was developed and tested among environmental laboratories. A holistic algorithm with the key phases of sampling, outlier analysis, recognition, and simulation-based structure identification was developed and is being addressed in place of conventional indices and plots. Computer simulations showed that the proposed hybrid approach has no discernible sensitivity to outliers and that the agreement structure is transparent and robust. Some meta-data is also generated by the analysis based on relative uncertainty. To measure the perfor-mance and capability of Bayesian consensus building algorithm, the uncertainty intervals were established and com-parative evaluations have been carried out using the conventional techniques. As a result, the suggested algorithm can explore both the laboratory performances (harmony) and the conformity between two independent samples. The algorithmic procedure features a generalizable framework that may be adapted in other fields to obtain a consen-sus among the laboratories.
Açıklama
Anahtar Kelimeler
Interlaboratory consensus, Environmental sampling, Measurement uncertainty, Bayesian inference
Kaynak
Science of The Total Environment
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
870
