Mauro Andrade de Sousa and Alcides Antonio dos Santos . fidence interval ( Vuolo, ), a type B variance of half . Fundamentos da Teoria de Erros. Journal of Im-. munological Methods, 7. Vuolo JH (). Fundamentos da Teoria. dos Erros. 2nd edn. Editora Edgard Blü-. cher Ltda., São Paulo. 8. N.H. Medina, J.H. Vuolo. Instituto de Física da Universidade de São Paulo Centro de Ciências Exatas e Tecnológicas (C6) da Universidade Vale do Rio dos .. [Vu96] J.R. Vuolo, Fundamentos da Teoria de Erros, 2nd Ed., Edgar Blücher.
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Limitations of the Welch-Satterthwaite approximation for measurement uncertainty calculations, Metrologia 37 1: The specification of rules for rejecting too variance a product, with particular reference to an electric lamp problem, J.
Portanto, comparando ambos os lados da Eq. Jonh Wiley and Sons.
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Dessa forma, a Eq. Evaluation of measurement data-supplement 1 to the guide to the expression of uncertainty in measurement-propagation of distributions using a Monte Carlo method, Technical reportJoint Committee for Guides in Metrology, Bureau International des Poids et Measures, JCGM Bayesian assessment of uncertainty in metrology: Basic and general concepts and associated terms VIM. Standard uncertainty in each measurement result explicit or implicit, Measurement 20 2: Nonlinear models and best estimates in the GUM, Metrologia 43 4: An Introduction to uncertainty in FundammentosNew York: How to cite this article.
Bayesian Statistics2nd edn, Oxford University Press.
An approximate distribution of estimates of variance components, Biometrics Bulletin 2 6: Evaluation of measurement data – guide to the expression of uncertainty in measurement. The obtained results show that it is necessary to evaluate the influence of the degree of non linearity in order to estimate the measurement uncertainty before either method is chosen.
Vuolo J. H. – Fundamentos da teoria de erros.pdf
International vocabulary of metrology: O primeiro termo da Eq. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License.
An inconsistency in uncertainty analysis relating to effective degrees of freedom, Metrologia 45 1: Evolution of modern approaches to express uncertainty in measurement, Metrologia 44 6: Kalid II ; Gesner A. We review the literature, in particular the main papers presenting these modern approaches.
Copulas for uncertainty analysis, Metrologia 47 3: On use of Bayesian statistics to make the guide to the expression of uncertainty in measurement consistent, Metrologia 40 dks An outline of supplement 1 to the guide to the expression of uncertainty in measurement on numerical methods for the propagation of distributions, Measurement Techniques 48 4: Cox and Harris ; Herrador et al.
Martins I ; Ricardo A.
On using the Monte Carlo method to calculate uncertainty intervals, Metrologia 43 6: A computer program for a general case evaluation of the expanded uncertainty, Accred Qual Assur 8: Furthermore, a comparative study between these two methods was carried out in two case studies. Does “WelchSatterthwaite”make a good uncertainty estimate? Entretanto, algumas vezes por exemplo: Higher order corrections to the Welch-Satterthwaite formula, Metrologia 42 5: Evaluating the measurement uncertainty: The present paper discusses these methods for the quantification of measurement uncertainty.
Mathematical method for physicists6 edn, New York: The generalized maximum entropy trapezoidal probability density function, Metrologia 45 4: Calculation of uncertainty in the presence of prior knowledge, Metrologia 44 2: Como mostrado nas Eqs.
Model-based measurement uncertainty evaluation, with applications in testing, Accred Qual Assur 8: The significance of the difference between two means when the population variances are unequal, Biometrika Monte Carlo-based estimation of uncertainty owing to limited resolution of digital instruments, Metrologia Bayesian evaluation of comparison data, Metrologia 43 4: The main method recognized by the metrologists for the evaluation of measurement uncertainty is de facto the Guide to the Expression of Uncertainty in Measurement ISO Guide.
Trapezoidal and triangular distributions for Type B evaluation of standard uncertainty, Metrologia 44 2: A Monte Carlo method for uncertainty evaluation implemented on a distributed computing system, Metrologia 44 5: Bayesian inference from measurement information, Metrologia 36 3: A Bayesian theory of measurements uncertainty, Metrologia 3: Statistical background to the ISO guide to the expression of uncertainty in measurementTechnology transfer series monograph n 2, National Measurement Institute of Australia.