Conclusions on Measurement Uncertainty in Microbiology
نویسندگان
چکیده
منابع مشابه
Measurement uncertainty.
Measurement uncertainty is a statistical parameter which describes the possible fluctuations of the result of a measurement. It is not a mere repeatability but it is at least as high as the intra-laboratory reproducibility. If it is an attribute of a general analytical test procedure it is at least as high as the inter-laboratory reproducibility. Measurement uncertainty can be determined by the...
متن کاملOn the Measurement of Inequality under Uncertainty*
To take into account both ex ante and ex post inequality considerations, one has to deal with inequality and uncertainty simultaneously. Under certainty, much of the literature has focused on ``comonotonically linear'' indices: functionals that are linear on cones of income profiles that agree on the social ranking of the individuals. This family generalizes both the Gini index and the egalitar...
متن کاملMolecular Testing in Microbiology
There are significant challenges associated with qualitative and quantitative nucleic acid tests performed in diagnostic laboratories. The development of internationally available certified reference materials which can be traced to reference measurements will contribute to a better understanding of the performance characteristics of nucleic acid tests and enhance reliability and comparability ...
متن کاملMeasurement uncertainty relations
Measurement uncertainty relations are quantitative bounds on the errors in an approximate joint measurement of two observables. They can be seen as a generalization of the error/disturbance tradeoff first discussed heuristically by Heisenberg. Here we prove such relations for the case of two canonically conjugate observables like position and momentum, and establish a close connection with the ...
متن کاملUncertainty Measurement for Ultrasonic Sensor Fusion Using Generalized Aggregated Uncertainty Measure 1
In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of AOAC INTERNATIONAL
سال: 2009
ISSN: 1060-3271,1944-7922
DOI: 10.1093/jaoac/92.1.312