Measurement Uncertainty And Probability Pdf

measurement uncertainty and probability pdf

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Forbes npl. Received: 5 May Accepted: 27 June Both documents describe three phases a the construction of a measurement model, b the assignment of probability distributions to quantities, and c a computational phase that specifies the distribution for the quantity of interest, the measurand.

Assessing the measurement uncertainty of qualitative analysis in the clinical laboratory

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. A Review of Relationships Between Possibility and Probability Representations of Uncertainty in Measurement Abstract: The main advances regarding the deep connections between probability and possibility measurement uncertainty representation but not the propagation over the last decade are reviewed. They concern the following: the definition of a possibility distribution equivalent to a probability of one from its whole set of dispersion intervals about one point for all of the probability levels, the bridges with the conventional dispersion parameters, the representation of a partial probability knowledge owing to a maximum specificity principle better than the maximum entropy principle, and also probability inequalities. The use of a possibility representation for common measurement situations such as the description of measurement results, measurand estimation, and expression of a priori uncertainty information is illustrated and then discussed in view of their use in further processing propagation and fuzzy inference systems. The conclusion highlights the interests of the possibility approach and points out some remaining issues.

We investigate the influence of finite resolution on measurement uncertainty from the perspective of the Guide to the Expression of Uncertainty in Measurement GUM. Finite resolution in a measurement that is perturbed by Gaussian noise yields a distribution of results that strongly depends on the location of the true value relative to the resolution increment. We show that there is no simple expression relating the standard deviation of the distribution of measurement results to the associated uncertainty at a specified level of confidence. There is, however, an analytic relation between the mean value and the standard deviation of the measurement distribution. We further investigate the conflict between the GUM and ISO regarding the method of evaluating the standard uncertainty due to finite resolution and show that, on average, the GUM method is superior, but still approximate. The issue of measurement uncertainty is becoming increasingly relevant to both calibration laboratories and factory floor metrology. In some cases measurement uncertainty has significant economic impact on the cost of a product.

Measurement uncertainty is a parameter that is associated with the dispersion of measurements. Assessment of the measurement uncertainty is recommended in qualitative analyses in clinical laboratories; however, the measurement uncertainty of qualitative tests has been neglected despite the introduction of many adequate methods. Unlike in quantitative analysis, the measurement uncertainty of qualitative analysis is expressed using a conditional probability, likelihood ratio, and entropy. With the necessary theoretical background, the practical applications for clinical laboratories are also provided using statistical calculations. Using statistical approaches, we hope that our review will contribute to the use of measurement uncertainty in qualitative analyses in the clinical laboratory environment.

Uncertainty Due to Finite Resolution Measurements

Monte Carlo simulation for the evaluation of measurement uncertainty of pharmaceutical certified reference materials. Werickson F. The supplemental Guide to the Expression of Uncertainty Measurement , which deals with the propagation of distributions, encourages the use of the Monte Carlo simulation MCS for estimating the uncertainty of measurands. This paper describes the application of this method to estimate the measurement uncertainty of active pharmaceutical ingredient API mass fractions of two certified reference materials CRMs : metronidazole and captopril. Keywords: Monte Carlo simulation, evaluation of measurement uncertainty, certified reference materials, active pharmaceutical ingredients. Metrological activities are fundamental to ensure the quality of scientific and industrial activities.

Journal ID publisher-id : BM. ISSN print : ISSN electronic : Copyright: , Croatian Society of Medical Biochemistry. License open-access :.

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Statistical distributions commonly used in measurement uncertainty in laboratory medicine

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Measurement uncertainty using Bayes’ theorem

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