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Journal articles on the topic 'Uncertainty Analysis'

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1

Griffin, R. L. "Uncertain about uncertainty in pest risk analysis." Acta Horticulturae, no. 1105 (December 2015): 315–20. http://dx.doi.org/10.17660/actahortic.2015.1105.45.

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2

Longtin, Jon P. "The uncertainty tree: Reducing the uncertainty of uncertainty analysis." Review of Scientific Instruments 73, no. 10 (2002): 3698–700. http://dx.doi.org/10.1063/1.1505654.

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3

Jiang, Chunlan, Zhengwei Liu, and Jinsong Wu. "Noncommutative uncertainty principles." Journal of Functional Analysis 270, no. 1 (2016): 264–311. http://dx.doi.org/10.1016/j.jfa.2015.08.007.

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4

Hansen, Lars Peter. "Uncertainty in Economic Analysis and the Economic Analysis of Uncertainty." KNOW: A Journal on the Formation of Knowledge 1, no. 1 (2017): 171–97. http://dx.doi.org/10.1086/692519.

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5

Strichartz, Robert S. "Uncertainty principles in harmonic analysis." Journal of Functional Analysis 84, no. 1 (1989): 97–114. http://dx.doi.org/10.1016/0022-1236(89)90112-2.

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6

Maass, Peter, Chen Sagiv, Nir Sochen, and Hans-Georg Stark. "Do Uncertainty Minimizers Attain Minimal Uncertainty?" Journal of Fourier Analysis and Applications 16, no. 3 (2009): 448–69. http://dx.doi.org/10.1007/s00041-009-9099-4.

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7

YUAN, Yahui. "New Method for Uncertainty Analysis in Multidisciplinary System—Collaborative Uncertainty Analysis." Journal of Mechanical Engineering 45, no. 07 (2009): 174. http://dx.doi.org/10.3901/jme.2009.07.174.

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8

Biró, András, and Vsevolod F. Lev. "Uncertainty in finite planes." Journal of Functional Analysis 281, no. 3 (2021): 109026. http://dx.doi.org/10.1016/j.jfa.2021.109026.

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9

Bommer, Julian J. "Uncertainty about the uncertainty in seismic hazard analysis." Engineering Geology 70, no. 1-2 (2003): 165–68. http://dx.doi.org/10.1016/s0013-7952(02)00278-8.

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10

G.V., Suresh, and Srinivasa Reddy E.V. "Uncertain Data Analysis with Regularized XGBoost." Webology 19, no. 1 (2022): 3722–40. http://dx.doi.org/10.14704/web/v19i1/web19245.

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Uncertainty is a ubiquitous element in available knowledge about the real world. Data sampling error, obsolete sources, network latency, and transmission error are all factors that contribute to the uncertainty. These kinds of uncertainty have to be handled cautiously, or else the classification results could be unreliable or even erroneous. There are numerous methodologies developed to comprehend and control uncertainty in data. There are many faces for uncertainty i.e., inconsistency, imprecision, ambiguity, incompleteness, vagueness, unpredictability, noise, and unreliability. Missing infor
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11

Tazid Ali, Tazid Ali, and Rubab F. Nomani. "Uncertainty modeling : A case study in cost-benefit analysis." International Journal of Scientific Research 2, no. 12 (2012): 115–17. http://dx.doi.org/10.15373/22778179/dec2013/38.

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12

Chen, Si, Guoqi Xie, Renfa Li, and Keqin Li. "Uncertainty Theory Based Partitioning for Cyber-Physical Systems with Uncertain Reliability Analysis." ACM Transactions on Design Automation of Electronic Systems 27, no. 3 (2022): 1–19. http://dx.doi.org/10.1145/3490177.

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Reasonable partitioning is a critical issue for cyber-physical system (CPS) design. Traditional CPS partitioning methods run in a determined context and depend on the parameter pre-estimations, but they ignore the uncertainty of parameters and hardly consider reliability. The state-of-the-art work proposed an uncertainty theory based CPS partitioning method, which includes parameter uncertainty and reliability analysis, but it only considers linear uncertainty distributions for variables and ignores the uncertainty of reliability. In this paper, we propose an uncertainty theory based CPS parti
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13

Lawson, Tony. "Uncertainty and Economic Analysis." Economic Journal 95, no. 380 (1985): 909. http://dx.doi.org/10.2307/2233256.

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14

Possolo, Antonio. "Copulas for uncertainty analysis." Metrologia 47, no. 3 (2010): 262–71. http://dx.doi.org/10.1088/0026-1394/47/3/017.

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15

Schmitz, Tony L., Jason E. Action, David L. Burris, John C. Ziegert, and W. Gregory Sawyer. "Wear-Rate Uncertainty Analysis." Journal of Tribology 126, no. 4 (2004): 802–8. http://dx.doi.org/10.1115/1.1792675.

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Wear due to relative motion between component surfaces is one of the primary modes of failure for many engineered systems. Unfortunately, it is difficult to accurately predict component life due to wear as reported wear rates generally exhibit large scatter. This paper analyzes a reciprocating tribometer in an attempt to understand the instrument-related sources of the scatter in measured wear rates. To accomplish this, an uncertainty analysis is completed for wear-rate testing of a commercially available virgin polytetrafluoroethylene pin on 347 stainless steel counterface. It is found that,
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16

Marshall, John M. "Welfare analysis under uncertainty." Journal of Risk and Uncertainty 2, no. 4 (1989): 385–403. http://dx.doi.org/10.1007/bf00356863.

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17

Ronen, Y. "The inverse uncertainty analysis." Annals of Nuclear Energy 15, no. 10-11 (1988): 511–12. http://dx.doi.org/10.1016/0306-4549(88)90067-9.

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18

Paulter, N. G., and D. R. Larson. "Pulse parameter uncertainty analysis." Metrologia 39, no. 2 (2002): 143–55. http://dx.doi.org/10.1088/0026-1394/39/2/4.

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19

Steele, W. G., R. A. Ferguson, R. P. Taylor, and H. W. Coleman. "Computer-assisted uncertainty analysis." Computer Applications in Engineering Education 5, no. 3 (1997): 169–79. http://dx.doi.org/10.1002/(sici)1099-0542(1997)5:3<169::aid-cae4>3.0.co;2-b.

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20

Monte, Luigi, Lars Håkanson, Ulla Bergström, John Brittain, and Rudie Heling. "Uncertainty analysis and validation of environmental models: the empirically based uncertainty analysis." Ecological Modelling 91, no. 1-3 (1996): 139–52. http://dx.doi.org/10.1016/0304-3800(95)00185-9.

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21

Jaming, Philippe, and Alexander M. Powell. "Uncertainty principles for orthonormal sequences." Journal of Functional Analysis 243, no. 2 (2007): 611–30. http://dx.doi.org/10.1016/j.jfa.2006.09.001.

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22

Alexandre, R., Y. Morimoto, S. Ukai, C. J. Xu, and T. Yang. "Uncertainty principle and kinetic equations." Journal of Functional Analysis 255, no. 8 (2008): 2013–66. http://dx.doi.org/10.1016/j.jfa.2008.07.004.

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23

Goodell, John W., Richard J. McGee, and Frank McGroarty. "Election uncertainty, economic policy uncertainty and financial market uncertainty: A prediction market analysis." Journal of Banking & Finance 110 (January 2020): 105684. http://dx.doi.org/10.1016/j.jbankfin.2019.105684.

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24

MENG, Debiao. "An Improvement Method for Uncertainty Analysis in Multidisciplinary System -Modified Collaborative Uncertainty Analysis." Journal of Mechanical Engineering 47, no. 19 (2011): 129. http://dx.doi.org/10.3901/jme.2011.19.129.

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25

Bansal, Ashish, and Ajay Kumar. "Heisenberg uncertainty inequality for Gabor transform." Journal of Mathematical Inequalities, no. 3 (2016): 737–49. http://dx.doi.org/10.7153/jmi-10-60.

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26

Dejeu, M. F. E. "An Uncertainty Principle for Integral Operators." Journal of Functional Analysis 122, no. 1 (1994): 247–53. http://dx.doi.org/10.1006/jfan.1994.1067.

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27

Pérez, Carlos, and Richard L. Wheeden. "Uncertainty Principle Estimates for Vector Fields." Journal of Functional Analysis 181, no. 1 (2001): 146–88. http://dx.doi.org/10.1006/jfan.2000.3711.

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28

Kim, Eung Seok. "Analysis of Runoff According to Application of SWMM-LID Element Technology (II): Parameter Uncertainty Analysis." Journal of the Korean Society of Hazard Mitigation 20, no. 6 (2020): 445–50. http://dx.doi.org/10.9798/kosham.2020.20.6.445.

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This study quantitatively analyzed the degree of uncertainty associated with runoff based on the sensitivity analysis of runoff parameters using Low Impact Development (LID) element technology of study (I). Uncertainty was analyzed for parameter uncertainty, uncertainty of runoff, and uncertainty about the degree of parameter and runoff. Parameter uncertainty indices showed lower uncertainty indices as a whole and uncertainty indices of peak runoff were higher than that of total runoff in runoff uncertainty. The reason for this is that the LID element technology itself is intended to store low
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29

Wang, Yishin, and Hwong-wen Ma. "Analysis of uncertainty in material flow analysis." Journal of Cleaner Production 170 (January 2018): 1017–28. http://dx.doi.org/10.1016/j.jclepro.2017.09.202.

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30

Nunes, Danielle Montenegro Salamone, and Otávio Ribeiro de Medeiros. "Policy Uncertainty: Analysis of Policy Uncertainty Impact on Risk Premium." Journal of Globalization, Competitiveness, and Governability 10, no. 2 (2016): 16–32. http://dx.doi.org/10.3232/gcg.2016.v10.n2.01.

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31

Klochkov, Yu S., G. A. Fokin, and O. V. Syrovatskiy. "UNCERTAINTY-BASED FMEA-ANALYSIS PROCEDURE." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 23, no. 6 (2021): 26–32. http://dx.doi.org/10.37313/1990-5378-2021-23-6-26-32.

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The article presents the results of FMEA-analysis based on integrating uncertainty theories and process failure mode and effects analysis. We provide guidelines for expert groups depending on actual cases with uncertainty. Moreover, for decision-making in terms of remedial actions, we applied convolution approach to the results of the expert group evaluation to reduce it to a single-objective problem of risk management.
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32

Denney, Dennis. "Uncertainty Analysis with Gradient Information." Journal of Petroleum Technology 50, no. 12 (1998): 81–82. http://dx.doi.org/10.2118/1298-0081-jpt.

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33

Worden, Keith. "Uncertainty Analysis in Structural Dynamics." Key Engineering Materials 588 (October 2013): 318–32. http://dx.doi.org/10.4028/www.scientific.net/kem.588.318.

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This paper discusses the main issues of Uncertainty Analysis (UA) in general and also argues and illustrates its particular relevance to structural dynamics. Brief descriptions are given of the most prevalent of the many frameworks for uncertainty representation. The three main uncertainty-related problems of relevance to structural dynamics are then discussed, namelyquantification,fusionandpropagation. In order to illustrate the application of ideas of UA in a realistic scenario, there then follows a case study conducted on an aerospace structure, namely the wing of a Gnat trainer aircraft. T
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34

Ueda, Takeo. "AEROELASTIC ANALYSIS CONSIDERING STRUCTURAL UNCERTAINTY." Aviation 9, no. 1 (2005): 3–7. http://dx.doi.org/10.3846/16487788.2005.9635889.

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Uncertainties in aero elastic analysis are investigated. In aero elastic analysis, we usually find divergence speed or flutter speed by using deterministic equations of motion for elastic wings of aircraft. If any parameter in these equations is sensitive to the critical speed, we should treat it carefully since inaccuracy is inevitable in the production process. Tragic failure may occur if the margin is small. Therefore, it is important to know in the analysis the effects of uncertainties of the critical values when they play a critical role in the design. The sensitivity of parameters in aer
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35

Rechberger, Helmut, Oliver Cencic, and Rudolf Frühwirth. "Uncertainty in Material Flow Analysis." Journal of Industrial Ecology 18, no. 2 (2014): 159–60. http://dx.doi.org/10.1111/jiec.12087.

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36

Sumrak, McKenna L., Michael C. Johnson, and Steven L. Barfuss. "Analysis of Meter Registry Uncertainty." Journal - American Water Works Association 108 (September 1, 2016): E467—E473. http://dx.doi.org/10.5942/jawwa.2016.108.0138.

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37

Gortler, Jochen, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, and Oliver Deussen. "Uncertainty-Aware Principal Component Analysis." IEEE Transactions on Visualization and Computer Graphics 26, no. 1 (2020): 822–31. http://dx.doi.org/10.1109/tvcg.2019.2934812.

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38

Kline, S. J. "The Purposes of Uncertainty Analysis." Journal of Fluids Engineering 107, no. 2 (1985): 153–60. http://dx.doi.org/10.1115/1.3242449.

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39

Paulter, N. G., and D. R. Larson. "Impulse spectrum amplitude uncertainty analysis." Metrologia 43, no. 6 (2006): 477–85. http://dx.doi.org/10.1088/0026-1394/43/6/001.

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40

Yang, Jia, Elbara Ziade, and Aaron J. Schmidt. "Uncertainty analysis of thermoreflectance measurements." Review of Scientific Instruments 87, no. 1 (2016): 014901. http://dx.doi.org/10.1063/1.4939671.

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41

Blockley, D. I. "Uncertainty analysis in expert systems." Civil Engineering Systems 4, no. 1 (1987): 3–6. http://dx.doi.org/10.1080/02630258708970450.

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42

Huang, G. H., and X. S. Qin. "Environmental systems analysis under uncertainty." Civil Engineering and Environmental Systems 25, no. 2 (2008): 77–80. http://dx.doi.org/10.1080/10485250801908868.

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43

Odyniec, Michał. "Uncertainty analysis for signal detection." Journal of Knot Theory and Its Ramifications 27, no. 07 (2018): 1841006. http://dx.doi.org/10.1142/s0218216518410067.

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This paper addresses parameter identification of signals that are smooth and have compact support, but are otherwise arbitrary. We propose a definition of the time reference that results in the time uncertainty estimates that are much smaller than what one might expect with a casual analysis. These estimates are easily calculable given the noise level of the recording device and the signal shape.
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44

Jitao, Yao, Yan Mingdong, and Huang Bin. "Analysis Method of Subjective Uncertainty." IOP Conference Series: Materials Science and Engineering 780 (April 10, 2020): 022007. http://dx.doi.org/10.1088/1757-899x/780/2/022007.

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45

Shapiro, Gail G. "Antihistamine meta-analysis leaves uncertainty." Journal of Allergy and Clinical Immunology 111, no. 4 (2003): 695–96. http://dx.doi.org/10.1067/mai.2003.1410.

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46

Welton, Ellsworth J., and James R. Campbell. "Micropulse Lidar Signals: Uncertainty Analysis." Journal of Atmospheric and Oceanic Technology 19, no. 12 (2002): 2089–94. http://dx.doi.org/10.1175/1520-0426(2002)019<2089:mlsua>2.0.co;2.

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47

Apkon, Michael. "Decision analysis and clinical uncertainty." Current Opinion in Pediatrics 15, no. 3 (2003): 272–77. http://dx.doi.org/10.1097/00008480-200306000-00008.

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48

Minasny, B., and A. B. Mc Bratney. "Uncertainty analysis for pedotransfer functions." European Journal of Soil Science 53, no. 3 (2002): 417–29. http://dx.doi.org/10.1046/j.1365-2389.2002.00452.x.

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49

Salas, Jose D., and Hyun-Suk Shin. "Uncertainty Analysis of Reservoir Sedimentation." Journal of Hydraulic Engineering 125, no. 4 (1999): 339–50. http://dx.doi.org/10.1061/(asce)0733-9429(1999)125:4(339).

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50

Manski, Charles F. "Communicating uncertainty in policy analysis." Proceedings of the National Academy of Sciences 116, no. 16 (2018): 7634–41. http://dx.doi.org/10.1073/pnas.1722389115.

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The term “policy analysis” describes scientific evaluations of the impacts of past public policies and predictions of the outcomes of potential future policies. A prevalent practice has been to report policy analysis with incredible certitude. That is, exact predictions of policy outcomes are routine, while expressions of uncertainty are rare. However, predictions and estimates often are fragile, resting on unsupported assumptions and limited data. Therefore, the expressed certitude is not credible. This paper summarizes my work documenting incredible certitude and calling for transparent comm
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