Relevant bibliographies by topics / Measurement uncertainty

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Measurement uncertainty'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Measurement uncertainty"

1

Chunovkina, A. G. "Measurement error, measurement uncertainty, and measurand uncertainty." Measurement Techniques 43, no. 7 (2000): 581–86. http://dx.doi.org/10.1007/bf02503592.

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Białek, Agnieszka, Sarah Douglas, Joel Kuusk, et al. "Example of Monte Carlo Method Uncertainty Evaluation for Above-Water Ocean Colour Radiometry." Remote Sensing 12, no. 5 (2020): 780. http://dx.doi.org/10.3390/rs12050780.

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We describe a method to evaluate an uncertainly budget for the in situ Ocean Colour Radiometric measurements. A Monte Carlo approach is chosen to propagate the measurement uncertainty inputs through the measurements model. The measurement model is designed to address instrument characteristics and uncertainty associated with them. We present the results for a particular example when the radiometers were fully characterised and then use the same data to show a case when such characterisation is missing. This, depending on the measurement and the wavelength, can increase the uncertainty value si
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Johnson, Steven, and Anja Einseln. "An Uncertain Approach to Measurement Uncertainty." Forensic Science International: Synergy 1 (August 2019): S2. http://dx.doi.org/10.1016/j.fsisyn.2019.06.008.

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Ferrero, A., and S. Salicone. "Measurement uncertainty." IEEE Instrumentation and Measurement Magazine 9, no. 3 (2006): 44–51. http://dx.doi.org/10.1109/mim.2006.1637979.

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Meyer, Veronika R. "Measurement uncertainty." Journal of Chromatography A 1158, no. 1-2 (2007): 15–24. http://dx.doi.org/10.1016/j.chroma.2007.02.082.

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Wan, Xiao Xia, Xin Guo Huang, and Zhen Liu. "Uncertainty Evaluation of Spectral Color Measurement." Advanced Materials Research 174 (December 2010): 36–39. http://dx.doi.org/10.4028/www.scientific.net/amr.174.36.

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Uncertainty evaluation of spectral color measurement is the best method of evaluation of color measurement result’s quality. Firstly type A and type B uncertainty of spectral reflectance are analyzed based on different uncertainty's sources, secondly uncertainty of chromaticity parameters are calculated based on spectral reflectance’s uncertainty. Lastly practicability of uncertainty evaluation of spectral color measurement is proved by experiments.
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Shi, Zhao Yao, Jia Chun Lin, and Michael Paul Krystek. "Uncertainty Analysis of Helical Deviation Measurements." Key Engineering Materials 437 (May 2010): 212–16. http://dx.doi.org/10.4028/www.scientific.net/kem.437.212.

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The helix is a complex geometrical element. During the process of a dynamical measurement of the helical deviations, many factors, including the machine and the environment, lead to measurement errors. Although ISO as well as national standards stipulate the tolerances and assessment methods for helical deviations, these standards contribute little to the uncertainty calculations concerning such measurements. According to the Guide to the Expression of Uncertainty in Measurement (GUM), all measurement results must have a stated uncertainty associated to them. But in most cases of helical devia
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Chornoivanenko, Kateryna, and Yevhen Povzlo. "EVALUATION OF MICROHARDNESS UNCERTAINTY COMPONENTS OF COMPOSITE MATERIAL." Measuring Equipment and Metrology 86, no. 2 (2025): 73–79. https://doi.org/10.23939/istcmtm2025.02.073.

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The study substantiates the necessity of evaluating measurement uncertainty in the context of product quality control. The evaluation of uncertainty in determining measurement accuracy provides an evidence-based approach to verifying whether the measured quality characteristic complies with established standards. The process of uncertainty evaluation in quality control is complex and labor-intensive, involving the identification of uncertainty sources, detection of correlations among input quantities, determination of probability distribution laws of influencing factors, calculation of sensiti
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Zhang, Ya, Jian Zhong Fu, and Zi Chen Chen. "Application of Monte Carlo Method in the Measurement Process Design According to next Generation of GPS." Advanced Materials Research 189-193 (February 2011): 96–101. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.96.

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Measurement process has an important impact on the reliability of measurement. The reliability of measurement is weighed by measurement uncertainty. It is very difficult to estimate the uncertainty in the indirect measurements according to the transfer formula given by GUM (Guide to the Expression of Uncertainty in Measurement). Monte Carlo method was proposed to solve the problem of uncertainty estimation and seek suitable measurement process in the indirect measurements. The mathematical relation between the measurand and the direct measures is established firstly. Then Monte Carlo method wa
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Fischer, Andreas. "Limiting Uncertainty Relations in Laser-Based Measurements of Position and Velocity Due to Quantum Shot Noise." Entropy 21, no. 3 (2019): 264. http://dx.doi.org/10.3390/e21030264.

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With the ongoing progress of optoelectronic components, laser-based measurement systems allow measurements of position as well as displacement, strain and velocity with unbeatable speed and low measurement uncertainty. The performance limit is often studied for a single measurement setup, but a fundamental comparison of different measurement principles with respect to the ultimate limit due to quantum shot noise is rare. For this purpose, the Cramér-Rao bound is described as a universal information theoretic tool to calculate the minimal achievable measurement uncertainty for different measure
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Dissertations / Theses on the topic "Measurement uncertainty"

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Frazer, Robert Charles. "Measurement uncertainty in gear metrology." Thesis, University of Newcastle Upon Tyne, 2007. http://hdl.handle.net/10443/852.

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Gears play an important role in mechanical power transmission systems. They enable the prime mover characteristic (a gas turbine for example) to be matched to the characteristic of the driven load (say, a slow speed propeller), thus reducing the cost of both manufacturing and operating the system. The customer requirements for higher power density and lower noise demands more accurate gears. This imposes more stringent requirements on the measuring equipment that controls the quality of the manufacturing machines. Many gears have flank form and tooth spacing tolerances that are less then 10μm,
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Kim, Alisa. "Deep Learning for Uncertainty Measurement." Doctoral thesis, Humboldt-Universität zu Berlin, 2021. http://dx.doi.org/10.18452/22161.

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Diese Arbeit konzentriert sich auf die Lösung des Problems der Unsicherheitsmessung und ihrer Auswirkungen auf Geschäftsentscheidungen, wobei zwei Ziele verfolgt werden: Erstens die Entwicklung und Validierung robuster Modelle zur Quantifizierung der Unsicherheit, wobei insbesondere sowohl die etablierten statistischen Modelle als auch neu entwickelte maschinelle Lernwerkzeuge zum Einsatz kommen. Das zweite Ziel dreht sich um die industrielle Anwendung der vorgeschlagenen Modelle. Die Anwendung auf reale Fälle bei der Messung der Volatilität oder bei einer riskanten Entscheidung ist mit einem
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Zhao, Lei. "Bench scale apparatus measurement uncertainty and uncertainty effects on measurement of fire characteristics of material systems." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050105-182456/.

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Hoa, Phan Le Phuong. "Uncertainty in measurement of piezoresistive sensors /." Dresden : W.e.b.-Univ.-Verl, 2005. http://deposit.ddb.de/cgi-bin/dokserv?id=2660800&prov=M&dok_var=1&dok_ext=htm.

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Abbott, David Scot. "Assessing Student Understanding of Measurement and Uncertainty." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-06172003-143358/.

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A test to assess student understanding of measurement and uncertainty has been developed and administered to more than 500 students at two large research universities. The aim is two-fold: 1) to assess what students learn in the first semester of introductory physics labs and 2) to uncover patterns in student reasoning and practice. The forty minute, eleven item test focuses on direct measurement and student attitudes toward multiple measurements. After one revision cycle using think-aloud interviews, the test was administered to students to three groups: students enrolled in traditional labor
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Hainsworth, G. D. "Measurement uncertainty in water distribution telemetry systems." Thesis, Nottingham Trent University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383304.

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Kim, Alisa [Verfasser]. "Deep Learning for Uncertainty Measurement / Alisa Kim." Berlin : Humboldt-Universität zu Berlin, 2021. http://d-nb.info/1227300824/34.

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Placido, Rui. "Estimating measurement uncertainty in the medical laboratory." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11258.

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Medical Laboratories Accreditation is covered by ISO 15189:2012 - Medical Laboratories — Requirements for Quality and Competence. In Portugal, accreditation processes are held under the auspices of the Portuguese Accreditation Institute (IPAC), which applies the Portuguese edition (NP EN ISO 15189:2014). Accordingly, Medical Laboratories accreditation processes now require the estimate of measurement uncertainty (MU) associated to the results. The Guide to the Expression of Uncertainty in Measurement (GUM) describes the calculation of MU, not contemplating the specific aspects of medical labor
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Machekhin, Yu P. "Uncertainty measurement and dynamic system chaotical behaviour." Thesis, France, 2008. http://openarchive.nure.ua/handle/document/8734.

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Chaotic behaviour of nonlinear dynamic system as a mechanism of influence on uncertainty measurement are discussed. Based on the logistic equation as a mathematical models of measeurement uncertainty investigated as a function of state of dynamic system. In the case when dynamic chaos take place in system, uncertainty measurement are increasing and has anormal distribution.
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Calkins, Joseph Matthew. "Quantifying Coordinate Uncertainty Fields in Coupled Spatial Measurement systems." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/28472.

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Spatial coordinate measurement systems play an important role in manufacturing and certification processes. There are many types of coordinate measurement systems including electronic theodolite networks, total station systems, video photogrammetry systems, laser tracking systems, laser scanning systems, and coordinate measuring machines. Each of these systems produces coordinate measurements containing some degree of uncertainty. Often, the results from several different types of measurement systems must be combined in order to provide useful measurement results. When these measurements a
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Books on the topic "Measurement uncertainty"

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Bromwich, Michael. Income measurement under uncertainty. University of Glasgow, School of Financial Studies, 1988.

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Novellino do Rosario, Pedro Paulo, and Alexandre Mendes. Metrology and Measurement Uncertainty. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82303-9.

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Menin, Boris M. Fundamental constants: Evaluating measurement uncertainty. Cambridge Scholars Publishing, 2019.

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Dieck, Ronald H. Measurement uncertainty: Methods and applications. 2nd ed. Instrument Society of America, 1997.

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Dieck, Ronald H. Measurement uncertainty: Methods and applications. 4th ed. ISA, 2006.

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Hill, D. A. Measurement uncertainty of radiated emissions. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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Fink, Kerstin. Knowledge Potential Measurement and Uncertainty. Deutscher Universitätsverlag, 2004. http://dx.doi.org/10.1007/978-3-322-81240-7.

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Ratcliffe, Colin, and Bridget Ratcliffe. Doubt-Free Uncertainty In Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12063-8.

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De Bièvre, Paul, and Helmut Günzler, eds. Measurement Uncertainty in Chemical Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05173-3.

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Paul, De Bièvre, and Günzler Helmut, eds. Measurement uncertainty in chemical analysis. Springer, 2003.

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Book chapters on the topic "Measurement uncertainty"

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Rossi, Giovanni Battista. "Uncertainty." In Measurement and Probability. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8825-0_2.

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Busch, Paul, Pekka Lahti, Juha-Pekka Pellonpää, and Kari Ylinen. "Measurement Uncertainty." In Quantum Measurement. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43389-9_13.

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Busch, Paul, Pekka Lahti, Juha-Pekka Pellonpää, and Kari Ylinen. "Preparation Uncertainty." In Quantum Measurement. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43389-9_12.

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Bulska, Ewa. "Measurement Uncertainty." In Lecture Notes in Chemistry. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99206-8_8.

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Haitjema, Han. "Measurement Uncertainty." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35950-7_6599-3.

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Borys, Michael, Roman Schwartz, Arthur Reichmuth, and Roland Nater. "Measurement Uncertainty." In Fundamentals of Mass Determination. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-11937-8_4.

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Reichenbächer, Manfred, and Jürgen W. Einax. "Measurement Uncertainty." In Challenges in Analytical Quality Assurance. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16595-5_10.

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Williams, Alex. "Measurement Uncertainty." In Quality Assurance in Analytical Chemistry. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09621-5_13.

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Haitjema, Han. "Measurement Uncertainty." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-53120-4_6599.

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Koch, Michael. "Measurement Uncertainty." In Quality Assurance in Analytical Chemistry. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13609-2_12.

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Conference papers on the topic "Measurement uncertainty"

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Kot, Andrzej, and Agata Nawrocka. "Measurement Uncertainty for Biological Signals." In 2025 26th International Carpathian Control Conference (ICCC). IEEE, 2025. https://doi.org/10.1109/iccc65605.2025.11022854.

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Tian, Ya-Ming, Sheng Cao, Wen-Long Li, and Wei Xu. "Modeling and Analysis of Measurement Uncertainty for Distributed Measurement System." In 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC). IEEE, 2024. https://doi.org/10.1109/icairc64177.2024.10900205.

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Stecher. "Measurement uncertainty in EMI emission measurements." In Proceedings of International Symposium on Electromagnetic Compatibility. IEEE, 1997. http://dx.doi.org/10.1109/elmagc.1997.617139.

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Witkovsky, V., G. Wimmer, Z. Durisova, S. Duris, and R. Palencar. "Brief overview of methods for measurement uncertainty analysis: GUM uncertainty framework, Monte Carlo method, characteristic function approach." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983530.

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Du, Xiaoping, and Harsheel Shah. "Quantifying Model Uncertainty Using Measurement Uncertainty Standards." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47865.

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There is always a deviation between a model prediction and the reality that the model intends to represent. The deviation is largely caused by the model uncertainty due to ignorance, assumptions, simplification, and other sources of lack of knowledge. Quantifying model uncertainty is a vital task and requires the comparison between model prediction and observation. This exercise is generally computationally intensive on the prediction side and costly on the experimentation side. In this work, a new methodology is proposed to provide an alternative implementation of model uncertainty quantifica
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Lo, Hsin-Pin, Atsushi Yabushita, and Li-Yi Hsu. "Steering effect and uncertainty." In Quantum Information and Measurement. OSA, 2014. http://dx.doi.org/10.1364/qim.2014.qw5a.2.

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Wade, Heather. "Measurement Uncertainty for Chemistry & Microbiology." In NCSL International Workshop & Symposium. NCSL International, 2020. http://dx.doi.org/10.51843/wsproceedings.2020.25.

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Labs making chemical and/or microbiological measurements have long been left out of the measurement uncertainty discussion at major physical metrology conferences. As a result, calculating measurement uncertainty for chemical and microbiological analysis can leave many physical metrologists scratching their heads in wonder. The rules we have learned for calculating electrical or dimensional uncertainties do not transfer as smoothly. The good news is that there are proven methods and guidance how to calculate measurement uncertainty for chemical and microbiological measurements. There is also g
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Ivashchenko, E. M., P. A. Pavlov, and Y. V. Filatov. "Dynamic goniometer's measurement uncertainty." In 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2017. http://dx.doi.org/10.1109/scm.2017.7970488.

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ROBERTS, J., J. LEWIS, D. GLICKEN, R. MORIN, J. MANCINI, and D. HAAS. "Engine thrust measurement uncertainty." In 21st Joint Propulsion Conference. American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-1404.

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Martin, Nevin, and Collin Delker. "Introduction to Measurement Uncertainty." In National Conference of Standards Laboratories International (NCSLI) - Orlando, Florida, United States of America - July - 2023. US DOE, 2023. http://dx.doi.org/10.2172/2430781.

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Reports on the topic "Measurement uncertainty"

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George, Hawley, and Owston. PR-015-09603-R01 LNG Measurement Uncertainty Analysis. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0010699.

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The U.S. natural gas industry is expected to import increasing amounts of liquefied natural gas (LNG) in the near future. When an LNG tanker ship arrives at an LNG terminal, the quantity of LNG transferred to the terminal is found by measuring the changes in static volume within the ships tanks. The LNG volume is inferred from measurements of the liquid height, along with tables of tank characteristics predetermined by a method known as �tank strapping.� Once transferred, the LNG is then regasified at the terminal before being sent to limited distribution companies (LDCs) or power plants. Ther
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Hill, D. A. Measurement uncertainty of radiated emissions. National Bureau of Standards, 1997. http://dx.doi.org/10.6028/nist.tn.1389.

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Smith, Susan, Jake Daughhetee, Gomez Wright, and Daniel Archer. Measurement Plan for Uncertainty Contributions to Cf-252 Waste Measurements. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1908061.

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Jones, S. A., J. K. Gruetzner, R. M. Houser, R. M. Edgar, and T. J. Wendelin. VSHOT measurement uncertainty and sensitivity study. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/510332.

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Cox, M. G., and A. O'Hagan. Meaningful expressions of uncertainty in measurement. National Physical Laboratory, 2021. http://dx.doi.org/10.47120/npl.ms27.

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Holland, W. E. Measurement uncertainty of silicone oil leakage testing. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5988474.

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Edwards, T. B. Mobile Plutonium Facility (MPF) Calorimeter Measurement Uncertainty. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1637914.

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Caskey, G. Measurement uncertainty considerations for coordinate measuring machines. National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5170.

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Haines, Tomar. PR-218-103608-R01 ILI Tool Calibration based on In-ditch Measurement with Related Uncertainty. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010825.

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Keifner and Associates was awarded task 2 and 3 of the project EC-4-2, "ILI Tool Calibration based on In-ditch Measurement with Related Uncertainty". The project comprised of three tasks as follows: Develop a process for either confirming adequacy of vendor claimed random error component, or recalibrating the random error component of ILI measurement uncertainty. Task 1 was completed by ApplusRTD and a report was generated under a separate contract no: PR-366-103606. Develop a process for examining errors, and determine methods to correct for these errors, recognizing that lack of knowledge ab
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Bingham, C. E., and A. A. Pesaran. Measurement uncertainty of adsorption testing of desiccant materials. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/10102023.

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