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Items where Subject is "Mathematics and Scientific Computing > Measurement Uncertainties"

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Number of items at this level: 84.

A

Allard, A*; Fischer, N*; Ebrard, G*; Hay, B*; Harris, P M; Wright, L; Rochais, D*; Mattout, J* (2016) A multi-thermogram-based Bayesian model for the determination of the thermal diffusivity of a material. Metrologia, 53 (1). S1-S9.

B

Bich, W*; Cox, M G; Dybkaer, R*; Elster, C*; Estler, W T*; Hibbert, B*; Imai, H*; Kool, W*; Michotte, C*; Nielsen, L*; Pendrill, L*; Sidney, S*; van der Veen, A M H*; Woumlger, W* (2012) The revision of the 'Guide to the expression of uncertainty in measurement'. Metrologia, 49 (6). pp. 702-705.

Bich, W*; Cox, M G; Harris, P M (2006) Evolution of the 'Guide to the Expression of Uncertainty in Measurement'. Metrologia, 43. S161-S166

Bich, W*; Cox, M G; Harris, P M (1994) Uncertainty modelling in mass comparisons. Metrologia, 30 (5). pp. 495-502.

Bich, W*; Cox, M G; Michotte, C* (2016) Towards a new GUM - an update. Metrologia, 53 (5). S149-S159

Brennan, J K*; Crampton, A*; Jiang, X*; Leach, R K; Harris, P M (2006) Propagation of uncertainty in discretely sampled surface roughness profiles. In: Proceedings of the International Workshop on Advanced Mathematical and Computational Tools in Metrology VII, 2006.

C

Clarkson, P; Esward, T J; Harris, P M; Smith, A A*; Smith, I M (2010) Software simulation of a lock-in amplifier with application to the evaluation of uncertainties in real measuring systems. Meas. Sci. Technol., 21 (4). 045106

Collett, M; Esward, T J; Harris, P M; Matthews, C E; Smith, I M (2013) Simulating distributed measurement networks in which sensors may be faulty, noisy and interdependent: a software tool for sensor network design, data fusion and uncertainty evaluation. Measurement, 46 (8). pp. 2647-2660.

Cox, M G (2009) Propagation of distributions by a Monte Carlo method, with an application to ratio models. Eur. Phys. J. Special Topics, 172. pp. 153-162.

Cox, M G (1999) A discussion of approaches for determining a reference value in the analysis of key-comparison data. NPL Report. CISE 42/99

Cox, M G (2002) The evaluation of key comparison data. Metrologia, 39. pp. 589-595.

Cox, M G (2007) The evaluation of key comparison data: determining a largest consistent subset. Metrologia, 44. pp. 187-200.

Cox, M G; Dainton, M P; Harris, P M (2001) Software specifications for uncertainty calculation and associated statistical analysis. NPL Report. CMSC 10/01

Cox, M G; Dainton, M P; Harris, P M (2001) Uncertainty and statistical modelling. (Software Support for Metrology Best Practice Guide No. 6). Technical Report. NPL, UK.

Cox, M G; Desenfant, M*; Harris, P M; Siebert, B* (2003) Model-based measurement uncertainty evaluation with applications in testings. Accred. Qual. Assur., 8 (12). pp. 548-554.

Cox, M G; Eio, C P; Mana, G*; Pennecchi, F* (2006) The generalized weighted mean of correlated quantities. Metrologia, 43. S268-S275

Cox, M G; Elster, C*; Wöger, W* (2007) Draft GUM Supplement 1 and Bayesian analysis. Metrologia, 44. L31-L32

Cox, M G; Forbes, A B; Harris, P M (2007) Challenges for mathematical and statistical modelling for metrology. PAMM, 7 (1). pp. 1150305-1150306.

Cox, M G; Forbes, A B; Harris, P M (2013) Discussion of five examples of assessment and expression of measurement uncertainty by Antonio Possolo. Applied Stochastic Models in Business and Industry, 29 (1). pp. 24-26.

Cox, M G; Harris, P M (2014) GUM anniversary issue. Foreword. Metrologia, 51 (4). S141-S143

Cox, M G; Harris, P M (2006) Measurement uncertainty and traceability. Meas. Sci. Technol., 17 (3). pp. 533-540.

Cox, M G; Harris, P M (2015) Polynomial calibration functions revisited: numerical and statistical issues. Advances in Mathematics for Applied Sciences, 86. pp. 9-16.

Cox, M G; Harris, P M (2010) Software Support for Metrology Best Practice Guide No. 6. Uncertainty evaluation. NPL Report. MS 6

Cox, M G; Harris, P M (2004) Software specifications for uncertainty evaluation. NPL Report. CMSC 40/04

Cox, M G; Harris, P M (2006) Software specifications for uncertainty evaluation. NPL Report. DEM-ES 010

Cox, M G; Harris, P M (2004) Statistical error modelling. NPL Report. CMSC 45/04

Cox, M G; Harris, P M (2004) Technical aspects of guidelines for the evaluation of key comparison data. Izmeritelnaya Technika, 47 (1). pp. 102-111.

Cox, M G; Harris, P M (2014) Validating the applicability of the GUM procedure. Metrologia, 51 (4). S167-S175

Cox, M G; Harris, P M (2012) The evaluation of key comparison data using key comparison reference curves. Metrologia, 49 (4). pp. 437-445.

Cox, M G; Harris, P M (2005) An outline of supplement 1 to the 'Guide to the expression of uncertainty in measurement on numerical methods for the propagation of distributions'. Meas. Tech., 48 (4). pp. 336-345.

Cox, M G; Harris, P M; Siebert, B R L* (2003) Evaluation of measurement uncertainty based on the propagation of distributions using Monte Carlo simulation. Meas. Tech., 46 (9). pp. 824-833.

Cox, M G; Harris, P M; Smith, I M (2011) Software for GUM supplement 1: user manual. NPL Report. MS 1

Cox, M G; Harris, P M; Woolliams, E R (2005) Data evaluation of key comparisons involving several artefacts. In: Proceedings of AMCTM 2005, June 2005, Lisbon, Portugal.

Cox, M G; O'Hagan, A (2021) Meaningful expressions of uncertainty in measurement. NPL Report. MS 27

Cox, M G; Siebert, B* (2001) The role of Monte Carlo simulations in uncertainty evaluation. In: National Measurement Conference (NMC) 2001, 6-8 November 2001, Harrogate, UK.

Cox, M G; Siebert,B R L*, (2006) The use of Monte Carlo method for evaluating uncertainty and expanded uncertainty. Metrologia, 43. S178-S188

Cox. M G,, ; Harris, P M (2006) Software Support for Metrology Best Practice Guide No 6 - uncertainty evaluation. NPL Report. DEM-ES 011

D

D'Arienzo, M; Cox, M G (2017) Uncertainty analysis in the calibration of an emission tomography system for quantitiative imaging. Computational and Mathematical Methods in Medicine, 2017. 9830386

E

Eichstaumldt, S*; Link, A*; Harris, P M; Elster, C* (2012) Efficient implementation of a Monte Carlo method for uncertainty evaluation in dynamic measurements. Metrologia, 49 (3). pp. 401-410.

Eio, C P; Cox, M G (2006) Problems of correlation in key comparisons. In: CPEM 2006 Conference on Precision Electromagnetic Measurements, 9-14 July 2006, Torino, Italy.

Elster, C*; Wöger, W*; Cox, M G (2005) Analysis of key comparison data: unstable travelling standards. Measurement, 48. pp. 883-893.

Elster, C*; Wöger, W*; Cox, M G (2005) Analysis of key comparison data: unstable travelling standards. Izmer. Tekh., 9. pp. 33-39.

Esward, T J; Wright, L (2007) Deriving uncertainties when using simulation in metrology. NPL Report. DEM-ES 017

Esward, T J; de Ginestous, A*; Harris, P M; Hill, I D*; Salim, S G R; Smith, I M; Wichmann, B A; Winkler, R; Woolliams, E R (2007) A Monte Carlo method for uncertainty evaluation implemented on a distribution computing system. Metrologia, 44 (5). pp. 319-326.

F

Forbes, A (2018) Posterior distributions, sampling distributions and inter-laboratory comparison data. Journal of Physics: Conference Series, 1065. 212027 ISSN 1742-6588

Forbes, A (2018) Uncertainties associated with position, size and shape for point cloud data. Journal of Physics: Conference Series, 1065. 142023 ISSN 1742-6588

Forbes, A B (2012) An MCMC algorithm based on GUM Supplement 1 for uncertainty evaluation. Measurement, 45 (5). pp. 1188-1199.

Forbes, A B (2003) Towards an industrial uncertainty methodology. In: UNCERT 2003 International Conference on the Uncertainty of Measurement - Technical Conference, 9-10 April 2003, St Catherine's College, Oxford, UK.

Forbes, A B (2006) Uncertainty evaluation associated with fitting geometric surfaces to coordinate data. Metrologia, 43. S282-S290

Forbes, A B (2016) A hierarchical model for the analysis of inter-laboratory comparison data. Metrologia, 53 (6). pp. 1295-1305.

Forbes, A B; Harris, P M (2000) Simulated instruments and uncertainty estimation. NPL Report. CMSC 01/00

Forbes, A B; Jagan, K; Smith, I M (2018) MCM2MCMC user manual : software implementing a Markov chain Monte Carlo algorithm for uncertainty evaluation based on the Monte Carlo method of Supplement 1 to the GUM. NPL Report. MS 20

G

Gear, J I; Cox, M G; Gustafsson, J; Gleisner, K S; Murray, I; Glatting, G; Konijnenberg, M; Flux, G D (2018) EANM practical guidance on uncertainty analysis for molecular radiotherapy absorbed dose calculations. European Journal of Nuclear Medicine and Molecular Imaging, 45 (13). pp. 2456-2474. ISSN 1619-7070

H

Harris, P M; Cox, M G (2014) On a monte Carlo method for measurement uncertainty evaluation and its implementation. Metrologia, 51 (4). S176-S182

Harris, P M; Cox, M G; Korczynski, J* (2006) Convolution and uncertainty evaluation. In: Advanced Mathematical and Computational Tools in Metrology. World Scientific Publishing, pp. 188-195. ISBN 9812566740

Harris, P M; Cox, M G; Smith, I M (2010) Software specifications for uncertainty evaluation. NPL Report. MS 7

Harris, P M; Hayman, G; Robinson, S P; Smith, I M (2010) Uncertainty evaluation for the calibration of an underwater acoustic transducer by the method of free-field reciprocity. NPL Report. MS 9

Harris, P M; Leach, R K; Giusca, C (2010) Uncertainty evaluation for the calculation of a surface texture parameter in the profile case. NPL Report. MS 8

Harris, P M; Leach, R K; Giusca, C (2011) Uncertainty evaluation for the calculation of a surface texture parameter in the profile case. In: 13th International Conference on Metrology and Properties of Engineering Surfaces., 12-15 April 2011, Twickenham Stadium, UK.

Harris, P M; Matthews, C E; Cox, M G; Forbes, A B (2014) Summarising the output of a Monte Carlo method for uncertainty evaluation. Metrologia, 51 (3). pp. 243-252.

Harris, P M; Smith, I M (2011) Software for GUM supplement 2: user manual. NPL Report. MS 13

Holland, R; Burgess, A; Molloy, J; Wright, L; Mansfield, T; Moorcroft, P; Clemente, C; Barham, R; Peters, A; Brar, L; Jones, D (2020) Performance testing for sensors in connected and autonomous vehicles: feasibility studies. Appendices. Other.

J

Jones, A*; Cox, M G (2001) Industrial methodology for uncertainty in quality and process improvement. In: National Measurement Conference (NMC) 2001, 6-8 November 2001, Harrogate, UK.

K

Klauenberg, K*; Wubbeler, G*; Mickan, B*; Harris, P M; Elster, C* (2015) A tutorial on Bayesian normal linear regression. Metrologia, 52 (6). pp. 878-892.

Kok, G; Harris, P (2020) Uncertainty Evaluation for Metrologically Redundant Industrial Sensor Networks. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IOT (METROIND4.0&IOT), 3 - 5 June 2020, Roma, Italy.

Kok, G J P*; van der Veen, A M H*; Harris, P M; Smith, I M; Elster, C* (2015) Bayesian analysis of a flow meter calibration problem. Metrologia, 52 (2). pp. 392-399.

L

Liu, Z; Allal, D; Cox, M; Wiart, J (2020) Reply to “Comment on Liu et al. ‘Discrepancies of Measured SAR between Traditional and Fast Measuring Systems’ Int. J. Environ. Res. Public Health, 2020, 17, 2111”. International Journal of Environmental Research and Public Health, 17 (15). 5355 ISSN 1660-4601

Lord, G J; Wright, L (2003) Uncertainty evaluation in continuous modelling. NPL Report. CMSC 31/03

Luo, Y (2020) Uncertainty of the Classification Result from a Linear Discriminant Analysis. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IOT (METROIND4.0&IOT), 3 - 5 June 2020, Roma, Italy.

Luo, Y; Harris, P (2020) Uncertainty in Data Analysis for STRATH Testbed. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IOT (METROIND4.0&IOT), 3 - 5 June 2020, Roma, Italy.

M

Matthews, C E; Esward, T J (2013) Simulation of complex, modern, computer-based measuring systems for evaluation of measurement uncertainty: case study in digital imaging and uncertainty analysis. NPL Report. MS 16

Minh, H D; Smith, I M; Forbes, A B (2015) Determination of numerical uncertainty associated with numerical artefacts for validating coordinate metrology software. Advances in Mathematics for Applied Sciences, 86. pp. 273-278.

Muelaner, J E*; Wang, Z*; Jamshidi, I*; Maropoulos, P G*; Mileham, A R*; Hughes, E B*; Forbes, A B (2009) Study of the uncertainty of angle measurement for a rotary-laser automatic theodolite (R-LAT). Proc. Inst. Mech. Eng. B, J. Eng. Manuf., 223 (3). pp. 217-229.

P

Papananias, M*; Fletcher, S*; Longstaff, A P*; Forbes, A B (2017) Uncertainty evaluation associated with versatile automated gauging influenced by process variations through design of experiments approach. Precision Eng., 49. pp. 440-455.

Pennecchi, F*; Cox, M G; Bich, W* (2003) Order statistics and uncertainty evaluation. In: UNCERT 2003 International Conference on the Uncertainty of Measurement - Technical Conference, 9-10 April 2003, St Catherine's College, Oxford, UK.

R

Ribeiro, A S*; Sousa, J A E*; Cox, M G; Forbes, A B; Matias, L C*; Martins, L L* (2015) Uncertainty analysis of thermal comfort parameters. Int. J. Thermophysics, 36 (8). pp. 2124-2149.

Rynn, J A J; Cotter, S L; Powell, C E; Wright, L (2019) Surrogate accelerated Bayesian inversion for the determination of the thermal diffusivity of a material. Metrologia, 56 (1). 015018 ISSN 0026-1394

S

Shirono, K; Cox, M G (2019) Statistical reassessment of calibration and measurement capabilities based on key comparison results. Metrologia, 56 (4). 045001 ISSN 0026-1394

Shirono, K; Cox, M G (2018) Unilateral degree of equivalence maximizing the power of test in an analysis of a regional metrology organization key comparison. Journal of Physics: Conference Series, 1065. 212006 ISSN 1742-6588

Silva Ribeiro, A*; Alves e Sousa, J*; Olivera Costa, C*; Pimenta Castro, M*; Cox, M G (2008) Uncertainty evaluation and validation of a comparison methodology to perform in-house calibration of platinum resistance thermometers using a Monte Carlo method. Int. J. Thermophysics, 29 (3). pp. 902-914.

Smith, I M (2010) Software for determining polynomial calibration functions by generalised least squares: user manual. NPL Report. MS 11

Smith, Nadia (2018) How to implement methods for uncertainty evaluation, with an application to the measurement of brain perfusion using a CFD-MRI simulation. NPL Report. MS 23

Sousa, J A*; Forbes, A B; Ribeiro, A S*; Harris, P M; Carvalho, F*; Bacelar, L* (2013) The evaluation of uncertainty in mass calibration: possible approaches in a comparison study. J. Phys.: Conf. Ser., 459. 012033

W

Wubbeler, G*; Harris, P M; Cox, M G; Elster, C* (2010) A two-stage procedure for determining the number of trials in the application of a Monte Carlo method for uncertainty evaluation. Metrologia, 47 (3). pp. 317-324.

This list was generated on Wed Jun 16 10:36:57 2021 BST.