Fundamentos da Teoria de Erros – J. H. Vuolo. 8 likes. Book. Medidas e tipos de medidas: Medidas diretas, medidas indiretas, 4. José Henrique Vuolo, Fundamentos da Teoria de Erros, 2a Edição, Editora Blucher, VUOLO JH. Fundamentos da Teoria de Erros. Edgard Blücher,. S˜ao Paulo , pp. WENZEL H-G. The vertical gravimeter calibration line at Karls-.

Author: Mall Yozshukus
Country: Djibouti
Language: English (Spanish)
Genre: History
Published (Last): 19 October 2014
Pages: 86
PDF File Size: 7.48 Mb
ePub File Size: 16.46 Mb
ISBN: 186-2-88912-619-4
Downloads: 8205
Price: Free* [*Free Regsitration Required]
Uploader: Kigami

Vuolo J. H. – Fundamentos da teoria de erros.pdf

Comparison of the linear and non linear methods for the evaluation of measurement uncertainty. Martins I ; Ricardo A.

Kalid II ; Gesner A. The fundamentow 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. Due to some limitations of the proposed method by ISO Guide however, ISO has developed a supplementary method for evaluating the measurement uncertainty based on the propagation of probability density functions using the Monte Carlo method ISO-S1.

The present paper discusses these methods for the quantification of measurement uncertainty. We review the literature, in particular the main papers presenting these modern approaches.

Furthermore, a comparative study between these two methods was carried out in two case studies. 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.

Como vuoli nas Eqs. O primeiro termo da Eq. Contudo, a escolha da Eq. Entretanto, algumas vezes por exemplo: Cox and Harris ; Herrador et al. Portanto, comparando ambos os lados da Eq. Dessa forma, a Eq. Rubinstein ; Siepmann et al. No artigo de Esward et al.

Os valores simulados Eq. Mathematical method for physicists6 edn, New York: Limitations of the Welch-Satterthwaite approximation for measurement uncertainty calculations, Metrologia 37 1: Nonlinear models and best estimates in the GUM, Metrologia 43 4: Evolution of fundamentod guide to the expression of uncertainty in measurement, Metrologia Evaluation of measurement data – guide to the expression of uncertainty in measurement.

Comparison of the linear and non linear methods for the evaluation of measurement uncertainty

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 fhndamentosJoint Committee for Guides in Metrology, Bureau International des Poids et Measures, JCGM International vocabulary of metrology: Basic and general concepts and associated terms VIM.

  GPAQ QUESTIONNAIRE PDF

Software specifications for uncertainty evaluation and associated statistic analysis, Technical reportNational Physical Laboratory, Teddington, UK.

Reros measurement uncertainty evaluation, with applications in testing, Accred Qual Assur 8: The use of a Monte Carlo method for evaluating uncertainty and expanded uncertainty, Metrologia 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: Type B uncertainty in sound power measurements using comparison method, Measurement Evaluation of measurement uncertainty in the presence of combined random and analogue-todigital conversion errors, Measurement Science and Technology 11 9: 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: Statistical background to the ISO guide to the expression of uncertainty in measurementTechnology transfer series monograph n 2, National Measurement Institute of Australia.

Monte Carlo-based estimation of fundamentks owing to limited resolution of digital instruments, Metrologia Standard uncertainty in each measurement result explicit or implicit, Measurement 20 2: Does “WelchSatterthwaite”make a good uncertainty estimate?

Estimation of the uncertainty of fundametos measurements from the propagation of distributions by using the Monte-Carlo method: An overview, Chemometrics and Intelligent Laboratory Systems srros Evaluation of measurement uncertainty in analytical assays by rundamentos of Monte-Carlo simulation, Talanta 64 2: On use of Bayesian statistics to make the guide to the expression of uncertainty in measurement consistent, Metrologia 40 5: Trapezoidal and triangular distributions for Type B evaluation of standard uncertainty, Metrologia 44 2: Evolution of modern approaches to express uncertainty in measurement, Metrologia 44 6: Coefficient of contribution erroz the combined standard uncertainty, Metrologia 43 4: An Introduction to uncertainty in MeasurementNew York: Bayesian Statistics2nd edn, Oxford University Press.

A computer program for a general case evaluation of the expanded uncertainty, Accred Qual Assur 8: Evaluating the measurement uncertainty: Bayesian evaluation of comparison data, Metrologia 43 4: The generalized maximum entropy trapezoidal probability density function, Metrologia 45 4: On the meaning of coverage probabilities, Metrologia 46 6: Bayesian assessment of uncertainty in metrology: The evaluation of standard uncertainty in the presence of limited resolution of indicating devices, Measurement Science and Technology 8 4: Evaluation of the uncertainty associated with a measurement result not corrected for systematic effects, Measurement Science and Technology 9 6: The evaluation of the uncertainty in knowing a directly measured quantity, Measurement Science and Technology 9 8: Bayesian inference from measurement information, Metrologia 36 3: Higher order corrections to the Welch-Satterthwaite formula, Metrologia 42 5: Evaluation of uncertainty in measurements based on digitized data, Measurement 32 4: Expressions of second and third order uncertainty with third and fourth moments, Measurement 41 6: Copulas for uncertainty analysis, Metrologia 47 3: Jonh Wiley and Sons.

  EL COMUN OLVIDO SYLVIA MOLLOY PDF

Synthesis of variance, Psychometrika 6: An approximate distribution of estimates of variance components, Biometrics Bulletin 2 6: A Bayesian approach to information fusion for evaluating the measurement uncertainty, Robotics and Autonomous Systems 57 3: Systematic approach to the modelling of measurements for uncertainty evaluation, Metrologia 43 4: A Bayesian theory of measurements uncertainty, Metrologia 3: The specification of rules for rejecting too variance a product, with particular reference to an electric lamp problem, J.

The significance of the difference between two means when the population variances are unequal, Biometrika The propagation of uncertainty with calibration equations, Measurement Science and Technology 18 7: A procedure for the evaluation of measurement uncertainty based on moments, Metrologia 42 5: On using the Monte Carlo method to calculate uncertainty intervals, Metrologia 43 6: Principles of probability and statistics for metrology, Metrologia A generalization of the Welch-Satterthwaite formula for use with correlated uncertainty components, Metrologia 44 5: An inconsistency in uncertainty analysis relating to effective degrees of freedom, Metrologia 45 1: Difficulties arising from the representation of the measurand by a probability distribution, Measurement Science and Technology 21 1: Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method, Measurement Science and Technology 19 8: Sebastian Yuri Cavalcanti Catunda.

All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. Services on Demand Journal.

How to cite this article.