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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A computer program for a general case evaluation of the expanded uncertainty, Accred Qual Assur 8: On using the Monte Carlo method to calculate uncertainty intervals, Metrologia 43 6: Rubinstein ; Siepmann et al.
Bayesian assessment of uncertainty in metrology: Trapezoidal and triangular distributions for Type B evaluation of standard uncertainty, Metrologia 44 2: The evaluation of standard uncertainty in the presence of limited resolution of indicating devices, Measurement Science and Technology 8 4: Efros of measurement data – guide to the teodia of uncertainty in measurement.
Dessa forma, a Eq. Model-based measurement uncertainty evaluation, with applications in testing, Accred Qual Assur 8: Statistical background to the ISO guide to the expression of uncertainty in measurementTechnology transfer series monograph n 2, National Measurement Institute of Australia.
All the contents of this journal, except where otherwise fudamentos, is licensed under a Creative Commons Attribution License. Higher order corrections to the Welch-Satterthwaite formula, Metrologia 42 5: Expressions of second and third order uncertainty with third and fourth moments, Measurement 41 6: We review the literature, in particular the main papers presenting these modern approaches.
Contudo, a escolha da Eq. Bayesian inference from measurement information, Metrologia 36 3: Fundamenros of the uncertainty associated with a measurement result not corrected for systematic effects, Measurement Science and Technology 9 6: 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: Bayesian evaluation of comparison data, Metrologia 43 sa Bayesian Statistics2nd edn, Oxford University Press.
An approximate distribution of estimates of variance components, Biometrics Bulletin 2 6: Principles of probability and statistics for metrology, Metrologia Evolution of modern approaches to express uncertainty in measurement, Metrologia 44 6: A generalization of the Welch-Satterthwaite formula for use with correlated uncertainty components, Metrologia 44 5: A Bayesian theory of measurements uncertainty, Metrologia 3: Does “WelchSatterthwaite”make a good uncertainty estimate?
The evaluation of the uncertainty in knowing a directly measured quantity, Measurement Science and Technology 9 8: Calculation of uncertainty in the presence of prior knowledge, Metrologia 44 2: A Monte Carlo method for uncertainty evaluation implemented on a distributed computing system, Metrologia 44 5: Coefficient of contribution to the combined standard uncertainty, Metrologia 43 4: Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method, Measurement Science and Technology 19 8: The generalized maximum entropy trapezoidal probability density function, Metrologia 45 4: Entretanto, algumas vezes por exemplo: The significance of the difference between two means when the population variances are unequal, Biometrika Como mostrado nas Eqs.
Evaluation of uncertainty in measurements based on digitized data, Measurement 32 4: