Relevant bibliographies by topics / Uncertainty Analysis

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

Academic literature on the topic 'Uncertainty Analysis'

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

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Journal articles on the topic "Uncertainty Analysis"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Uncertainty Analysis"

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Gomolka, Beth. "Service Offering Uncertainty Analysis Tool." Thesis, Linköping University, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-19945.

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<p>Companies<strong> </strong>that seek to venture into providing services in addition to providing products have many business issues to consider as there are many differences between providing service and product offerings.  One factor that needs to be considered in service offerings is the aspect of time, as services are offered for an extended period of time, creating a unique type of relationship between the customer and the service provider.  With product offerings, the point of sale is usually the end of the product provider and customer relationship.  The added time aspect in the servi
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Zomlot, Loai M. M. "Handling uncertainty in intrusion analysis." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/17603.

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Doctor of Philosophy<br>Department of Computing and Information Sciences<br>Xinming Ou<br>Intrusion analysis, i.e., the process of combing through Intrusion Detection System (IDS) alerts and audit logs to identify true successful and attempted attacks, remains a difficult problem in practical network security defense. The primary cause of this problem is the high false positive rate in IDS system sensors used to detect malicious activity. This high false positive rate is attributed to an inability to differentiate nearly certain attacks from those that are merely possible. This inefficacy has
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Urganci, Ilksen. "Positional Uncertainty Analysis Using Data Uncertainy Engine A Case Study On Agricultural Land Parcels." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12611409/index.pdf.

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Most of spatial data extraction and updating procedures require digitization of geographical entities from satellite imagery. During digitization, errors are introduced by factors like instrument deficiencies or user errors. In this study positional uncertainty of geographical objects, digitized from high resolution Quickbird satellite imagery, is assessed using Data Uncertainty Engine (DUE). It is a software tool for assessing uncertainties in environmental data<br>and generating realisations of uncertain data for use in uncertainty propagation analyses. A case study area in Kocaeli, Turkey t
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Filipsson, Monika. "Uncertainty, variability and environmental risk analysis." Doctoral thesis, Linnéuniversitetet, Institutionen för naturvetenskap, NV, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-11193.

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The negative effects of hazardous substances and possible measures that can be taken are evaluated in the environmental risk analysis process, consisting of risk assessment, risk communication and risk management. Uncertainty due to lack of knowledge and natural variability are always present in this process. The aim of this thesis is to evaluate some tools as well as discuss the management of uncertainty and variability, as it is necessary to treat them both in a reliable and transparent way to gain regulatory acceptance in decision making. The catalytic effects of various metals on the forma
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Söderman, Filip. "Uncertainty Analysis of the Aerodynamic Coefficients." Thesis, KTH, Flygdynamik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223317.

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This thesis treats an error propagation analysis used to estimate the uncertainty of the aerodynamic coefficients. The propagation methods used in this analysis are a Taylor Series Method and a Monte Carlo Method. The Taylor Series Method uses the partial derivatives of each input variable whereas the Monte Carlo Method uses random and repeated samples from the probability density function of each variable. By comparing the results obtained by the different methods, the results can be validated. Coverage intervals with a coverage probability of 95% are calculated along with the percentage cont
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Johnson, David G. "Representations of uncertainty in risk analysis." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/31941.

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Uncertainty in situations involving risk is frequently modelled by assuming a plausible form of probability distribution for the uncertain quantities involved, and estimating the relevant parameters of that distribution based on the knowledge and judgement of informed experts or decision makers. The distributions assumed are usually uni-modal (and often bell-shaped) around some most likely value, with the Normal, Beta, Gamma and Triangular distributions being popular choices.
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Walker, A. M. "Uncertainty Analysis of Zone Fire Models." University of Canterbury. Civil Engineering, 1997. http://hdl.handle.net/10092/8298.

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Zone fire models are used by practising engineers every day in New Zealand, yet the models have limitations, and the uncertainty of these models has not been well documented. Comparisons with experimental data are simply comparison and do not analyse the uncertainty of the models, nor are they validation of the models. The object of this research has been to discuss the uncertainties in components of zone models and show how uncertainty within user supplied data affects the results obtained. The zone fire model selected for analysis is the second version of CFAST. A numerical uncertainty ana
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Gallagher, Raymond. "Uncertainty modelling in quantitative risk analysis." Thesis, University of Liverpool, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367676.

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Cui, W. C. "Uncertainty analysis in structural safety assessment." Thesis, University of Bristol, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303742.

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Ghate, Devendra. "Inexpensive uncertainty analysis for CFD applications." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:6be44a1d-6e2f-4bf9-b1e5-1468f92e21e3.

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The work presented in this thesis aims to provide various tools to be used during design process to make maximum use of the increasing availability of accurate engine blade measurement data for high fidelity fluid mechanic simulations at a reasonable computational expense. A new method for uncertainty propagation for geometric error has been proposed for fluid mechanics codes using adjoint error correction. Inexpensive Monte Carlo (IMC) method targets small uncertainties and provides complete probability distribution for the objective function at a significantly reduced computational cost. A b
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Books on the topic "Uncertainty Analysis"

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1940-, Ronen Yigal, ed. Uncertainty analysis. CRC Press, 1988.

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Marivoet, J. Uncertainty analysis techniques. Commission of the European Communities, 1987.

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Tung, Yeou-Koung. Hydrosystems engineering uncertainty analysis. McGraw-Hill, 2005.

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S, Kushwaha H., and Bhabha Atomic Research Centre. Health, Safety & Environment Group., eds. Uncertainty modeling and analysis. Health, Safety & Environment Group, Bhabha Atomic Research Centre, 2009.

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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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F, Dunn Patrick, ed. Uncertainty analysis for forensic science. 2nd ed. Lawyers & Judges Pub., 2009.

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

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name, No. Measurement uncertainty in chemical analysis. Springer, 2003.

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Pointe, P. R. La, and Y. Zee Ma. Uncertainty analysis and reservoir modeling. American Association of Petroleum Geologists, 2011.

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Hodges, James S. Uncertainty, policy analysis, and statistics. Rand, 1986.

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Book chapters on the topic "Uncertainty Analysis"

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Borgonovo, Emanuele. "Uncertainty Quantification." In Sensitivity Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52259-3_13.

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Yoe, Charles. "Uncertainty." In Principles of Risk Analysis. CRC Press, 2019. http://dx.doi.org/10.1201/9780429021121-2.

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Yoe, Charles. "Uncertainty." In Primer on Risk Analysis. CRC Press, 2019. http://dx.doi.org/10.1201/9780429021145-2.

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Ma, Y. Z. "Uncertainty Analysis." In Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17860-4_24.

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Mauskopf, Josephine, and Stephanie Earnshaw. "Uncertainty Analysis." In Budget-Impact Analysis of Health Care Interventions. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50482-7_8.

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Rose, Adam, Fynnwin Prager, Zhenhua Chen, et al. "Uncertainty Analysis." In Integrated Disaster Risk Management. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2567-9_7.

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Curry, Steve, and John Weiss. "Uncertainty." In Project Analysis in Developing Countries. Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1057/9780230378506_8.

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Curry, Steve, and John Weiss. "Uncertainty." In Project Analysis in Developing Countries. Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230375116_9.

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Liu, Baoding. "Uncertain Risk Analysis." In Uncertainty Theory. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13959-8_3.

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Liu, Baoding. "Uncertain Reliability Analysis." In Uncertainty Theory. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13959-8_4.

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Conference papers on the topic "Uncertainty Analysis"

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Ye, Ruiqi, Mingxue Liao, Tianyu Cui, and Pin Lv. "The simulation of open one-side uncertain probability for fusion model of data uncertainty and data relation uncertainty." In 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA). IEEE, 2018. http://dx.doi.org/10.1109/icbda.2018.8367658.

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Szekely, Pedro, Yu-Han Chang, Rajiv Maheswaran, Yan Wang, Huihui Cheng, and Karan Singh. "Interactive uncertainty analysis." In the 2012 ACM international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2166966.2167015.

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Shushkevich, Tatyana V. "Uncertainty Analysis Tools." In 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2018. http://dx.doi.org/10.1109/apeie.2018.8545801.

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Seibel, Arthur, and Josef Schlattmann. "Buckling Analysis under Uncertainty." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.215.

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Chen, Wei, Ruichen Jin, and Agus Sudjianto. "Analytical Uncertainty Propagation via Metamodels in Simulation-Based Design Under Uncertainty." In 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-4356.

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Wilcox, R. C., and B. M. Ayyub. "Uncertainty modeling of data and uncertainty propagation for risk studies." In Fourth International Symposium on Uncertainty Modeling and Analysis. ISUMA 2003. IEEE, 2003. http://dx.doi.org/10.1109/isuma.2003.1236160.

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Song, Gyun, and Man Kim. "Uncertainty Quantification for Passive Safety System and Treatment of Model Uncertainty." In 18th International Probabilistic Safety Assessment and Analysis (PSA 2023). American Nuclear Society, 2023. http://dx.doi.org/10.13182/psa23-41009.

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Negreiros, J., M. Painho, A. Cristina Costa, P. Cabral, and F. Aguilar. "The local confidence uncertainty plume of SAKWeb©." In RISK ANALYSIS 2008. WIT Press, 2008. http://dx.doi.org/10.2495/risk080091.

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Fabbri, A. G., and C. J. Chung. "On spatial uncertainty in hazard and risk assessment." In RISK ANALYSIS 2014. WIT Press, 2014. http://dx.doi.org/10.2495/risk140011.

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Bu, T., and S. I. Aanonsen. "Surfactant flooding uncertainty analysis." In IOR 1991 - 6th European Symposium on Improved Oil Recovery. European Association of Geoscientists & Engineers, 1991. http://dx.doi.org/10.3997/2214-4609.201411207.

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Reports on the topic "Uncertainty Analysis"

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Worley, B. A. Deterministic uncertainty analysis. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5534706.

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Halderman, C., and M. Dunn. ATARR Uncertainty Analysis. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada315475.

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Coutts, D. A. Uncertainty and calibration analysis. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10188883.

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McCurley, R. Analysis of Infiltration Uncertainty. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/836530.

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Smith, F., and M. Phifer. ENHANCED UNCERTAINTY ANALYSIS FOR SRS COMPOSITE ANALYSIS. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1023276.

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Aaron J. Pawel and Dr. George L. Mesina. Uncertainty Analysis for RELAP5-3D. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1042350.

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Alexandra E Gertman and Dr. George L Mesina. Uncertainty Analysis of RELAP5-3D. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1056002.

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Makaruk, Hanna. Uncertainty in Experimental Data Analysis. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1734696.

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Leyva, Nha. Uncertainty Analysis and Software Verification. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1813900.

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Cardoni, Jeffrey N., and Donald A. Kalinich. Fukushima Daiichi unit 1 uncertainty analysis--Preliminary selection of uncertain parameters and analysis methodology. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1204089.

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