Relevant bibliographies by topics / Sensitivity estimation

Contents

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

Academic literature on the topic 'Sensitivity estimation'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Sensitivity estimation"

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Hahn, Andreas, Ulrike Loderstädt, Hagen Frickmann, and Norbert G. Schwarz. "Sparing the control arm using well-characterized diagnostic approaches – the Gart and Buck prevalence estimator for efficacy estimation in single-arm trials." Journal of Laboratory Medicine 43, no. 5 (2019): 279–81. http://dx.doi.org/10.1515/labmed-2019-0091.

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Abstract Efficacy estimation of medical interventions in clinical trials requires diagnostics to assess the study endpoint. The imperfect nature of diagnostics often leads to biased efficacy estimations, usually underestimation, that could result in failure of clinical trials. Adjustment methods can be used if sensitivity and specificity are known, but they are not regularly applied. Double-arm clinical trials are the standard for demonstrating the superiority of a medical intervention. However, sometimes single-arm trials are the only option: for example, if a parallel group trial design with
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Howard, B. J., P. Strand, P. Assimakopoulos, et al. "Estimation of radioecological sensitivity." Radioprotection 37, no. C1 (2002): C1–1167—C1–1173. http://dx.doi.org/10.1051/radiopro/2002142.

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Minguez, Roberto, and Antonio J. Conejo. "State Estimation Sensitivity Analysis." IEEE Transactions on Power Systems 22, no. 3 (2007): 1080–91. http://dx.doi.org/10.1109/tpwrs.2007.901488.

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Murat, Baykal *1 Kenan Gençol 2. "PERFORMANCE EVALUATION OF SINGLE-TONE FREQUENCY ESTIMATORS UNDER NOISY AND IMPERFECT SIGNAL CONDITIONS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 12 (2017): 37–42. https://doi.org/10.5281/zenodo.1084976.

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It is well known that estimation of the parameters, in particular frequency a complex sinusoid contaminated with noise is one of the crucial problems in the literature as the frequency estimation has been applied in many areas such as communications, instrumentation and radar. There are three significant issues which are accuracy, estimator variance and sensitivity to bias that must be taken into consideration while finding the frequency of a sinusoid. In this study, performances of various estimators in estimating the frequency of single-tone signals are evaluated. Estimators are tested again
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Park, Soojin, and Gregory J. Palardy. "Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions." Journal of Educational and Behavioral Statistics 45, no. 4 (2020): 475–506. http://dx.doi.org/10.3102/1076998620908599.

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Estimating the effects of randomized experiments and, by extension, their mediating mechanisms, is often complicated by treatment noncompliance. Two estimation methods for causal mediation in the presence of noncompliance have recently been proposed, the instrumental variable method (IV-mediate) and maximum likelihood method (ML-mediate). However, little research has examined their performance when certain assumptions are violated and under varying data conditions. This article addresses that gap in the research and compares the performance of the two methods. The results show that the distrib
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Da Veiga, Sébastien, and Fabrice Gamboa. "Efficient estimation of sensitivity indices." Journal of Nonparametric Statistics 25, no. 3 (2013): 573–95. http://dx.doi.org/10.1080/10485252.2013.784762.

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Seth, J. "Estimation of sensitivity of immunoassays." Clinical Chemistry 36, no. 1 (1990): 178. http://dx.doi.org/10.1093/clinchem/36.1.178a.

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East, P. W. "Microwave intercept receiver sensitivity estimation." IEE Proceedings - Radar, Sonar and Navigation 144, no. 4 (1997): 186. http://dx.doi.org/10.1049/ip-rsn:19971211.

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Heidergott, Bernd, Felisa J. Vázquez-Abad, and Warren Volk-Makarewicz. "Sensitivity estimation for Gaussian systems." European Journal of Operational Research 187, no. 1 (2008): 193–207. http://dx.doi.org/10.1016/j.ejor.2007.04.004.

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Mi, Lu, Hao Wang, Yonglong Tian, Hao He, and Nir N. Shavit. "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (2022): 10042–50. http://dx.doi.org/10.1609/aaai.v36i9.21243.

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Uncertainty estimation is an essential step in the evaluation of the robustness for deep learning models in computer vision, especially when applied in risk-sensitive areas. However, most state-of-the-art deep learning models either fail to obtain uncertainty estimation or need significant modification (e.g., formulating a proper Bayesian treatment) to obtain it. Most previous methods are not able to take an arbitrary model off the shelf and generate uncertainty estimation without retraining or redesigning it. To address this gap, we perform a systematic exploration into training-free uncertai
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Dissertations / Theses on the topic "Sensitivity estimation"

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Jammalamadaka, Phani Rama Krishna 1980. "Uncertainty and sensitivity in regional earthquake loss estimation." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/85388.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.<br>Includes bibliographical references (leaves 175-180).<br>by Phani Rama Krishna Jammalamadaka.<br>S.M.
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DeBrunner, Victor Earl. "Parameter sensitivity, estimation and convergence: an information approach." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39893.

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Liu, Guangwu. "Pathwise sensitivity estimation for expectations of discontinuous functions /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?IELM%202009%20LIU.

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Ahola, T. (Timo). "Intelligent estimation of web break sensitivity in paper machines." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514279573.

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Abstract The ambition to increase the production of paper has made paper machine runnability widely studied in recent decades. Paper machine runnability is often measured by the number of web breaks in comparison with paper machine speed. When runnability is good, a machine can be run at the desired speed with the least possible number of breaks. Web break sensitivity means the number of breaks in a day, which can also be understood as a measurement of paper machine runnability. This study presents an application for the evaluation of web break sensitivity in a paper machine. A web break sens
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Lopez, Negrete de la Fuente Rodrigo. "Nonlinear Programming Sensitivity Based Methods for Constrained State Estimation." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/174.

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Model based control schemes, such as nonlinear model predictive control, assume that the full state vector of the plant is known for feedback control. However, in reality this is not always true. Most times only a set of noisy measurements are available, and thus, the unmeasured states need to be inferred from these measurements. This is done in combination with a detailed model of the system. The most common nonlinear state estimation methods do not have a means to deal with bounds or constraints on the states in an efficient or systematical way. These bounds and constraints are important in
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Sjödén, Therese. "Sensitivity Analysis and Material Parameter Estimation using Electromagnetic Modelling." Doctoral thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18689.

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Estimating parameters is the problem of finding their values from measurements and modelling. Parameters describe properties of a system; material, for instance, are defined by mechanical, electrical, and chemical parameters. Fisher information is an information measure, giving information about how changes in the parameter effect the estimation. The Fisher information includes the physical model of the problem and the statistical model of noise. The Cramér-Rao bound is the inverse of the Fisher information and gives the best possible variance for any unbiased estimator. This thesis considers
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Kozica, Ermin. "Look Ahead Cruise Control: Road Slope Estimation and Control Sensitivity." Thesis, KTH, Reglerteknik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107527.

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Look ahead cruise control is a relatively new concept. It deals with the possibility of making use of recorded road slope data in combination with GPS, inorder to improve vehicle cruise control. This thesis explores the possibility ofestimating road slope as well as investigating the sensitivity of two look aheadcontrollers, with respect to errors in estimation of mass, wheel radius and roadslope. A filter using GPS and standard vehicle sensors is used for estimation ofroad slope. The filter is robust to losses in data since redundant information isavailable. Possible errors in estimation caused
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Leite, Dos Santos Nunes Vitor Manuel. "Fréchet Sensitivity Analysis and Parameter Estimation in Groundwater Flow Models." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/50653.

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In this work we develop and analyze algorithms motivated by the parameter estimation problem corresponding to a multilayer aquifer/interbed groundwater flow model. The parameter estimation problem is formulated as an optimization problem, then addressed with algorithms based on adjoint equations, quasi-Newton schemes, and multilevel optimization. In addition to the parameter estimation problem, we consider properties of the parameter to solution map. This includes invertibility (known as identifiability) and differentiability properties of the map. For differentiability, we expand existing res
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Herterich, Rebecka, and Anna Sumarokova. "Coil Sensitivity Estimation and Intensity Normalisation for Magnetic Resonance Imaging." Thesis, KTH, Medicinteknik och hälsosystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263149.

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The quest for improved efficiency in magnetic resonance imaging has motivated the development of strategies like parallel imaging where arrays of multiple receiver coils are operated simultaneously in parallel. The objective of this project was to find an estimation of phased-array coil sensitivity profiles of magnetic resonance images of the human body. These sensitivity maps can then be used to perform an intensity inhomogeneity correction of the images. Through investigative work in Matlab, a script was developed that uses data embedded in raw data from a magnetic resonance scan, to generat
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Zelelew, Mulugeta. "Improving Runoff Estimation at Ungauged Catchments." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for vann- og miljøteknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19675.

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Water infrastructures have been implemented to support the vital activities of human society. The infrastructure developments at the same time have interrupted the natural catchment response characteristics, challenging society to implement effective water resources planning and management strategies. The Telemark area in southern Norway has seen a large number of water infrastructure developments, particularly hydropower, over more than a century. Recent developments in decision support tools for flood control and reservoir operation has raised the need to compute inflows from local catchment
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Books on the topic "Sensitivity estimation"

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Becker, Sascha O. MHbounds -- sensitivity analysis for average treatment effects. IZA, 2007.

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Zhao, Zhong. Sensitivity of propensity score methods to the specifications. IZA, 2005.

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Jiao, Jiujiu. Sensitivity features of aquifer parameters and their implications on parameter estimation. University of Birmingham, 1993.

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Lorimier, Sabine. A sensitivity analysis of an estimation method of the forward rate or the yield curve. Universiteit Antwerpen, 1994.

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Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Catherine, Hill Mary, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Catherine, Hill Mary, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Book chapters on the topic "Sensitivity estimation"

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Borgonovo, Emanuele. "Estimation and a Computational Shortcut." In Sensitivity Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52259-3_8.

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Heidergott, Bernd, and Warren Volk-Makarewicz. "Quantile Sensitivity Estimation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10406-0_2.

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Pflug, Georg Ch. "Simulation and sensitivity estimation." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1449-3_4.

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Cassandras, Christos G., and Stéphane Lafortune. "Sensitivity Analysis and Concurrent Estimation." In Introduction to Discrete Event Systems. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-4070-7_11.

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Bala, Bilash Kanti, Fatimah Mohamed Arshad, and Kusairi Mohd Noh. "Parameter Estimation and Sensitivity Analysis." In Springer Texts in Business and Economics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2045-2_5.

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Cassandras, Christos G., and Stéphane Lafortune. "Sensitivity Analysis and Concurrent Estimation." In Introduction to Discrete Event Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72274-6_11.

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Mangoubi, Rami S. "Stochastic Interpretation of Robust Estimation: Risk Sensitivity." In Robust Estimation and Failure Detection. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1586-1_4.

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Sengupta, Jati K., and Phillip Fanchon. "Risk Sensitivity, Adjustment of Control and Estimation." In Control Theory Methods in Economics. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6285-6_7.

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Arriola, Leon, and James M. Hyman. "Sensitivity Analysis for Uncertainty Quantification in Mathematical Models." In Mathematical and Statistical Estimation Approaches in Epidemiology. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2313-1_10.

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Prieur, Clémentine, and Stefano Tarantola. "Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms." In Handbook of Uncertainty Quantification. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12385-1_35.

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Conference papers on the topic "Sensitivity estimation"

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Wu, Shanchi, Rui Ni, Chen Gong, Qian Zhu, Genze Jiang, and Ganghua Yang. "Atomic Superheterodyne Receiver Sensitivity Estimation Based on Homodyne Readout." In 2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2024. http://dx.doi.org/10.23919/inc-usnc-ursi61303.2024.10632317.

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Wang, Wenlong, and Zai Yang. "On Noise-Sensitivity of Unlimited Sampling in Line Spectral Estimation." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889380.

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Borogovac, Tarik, Na Sun, and Pirooz Vakili. "Control variates for sensitivity estimation." In 2010 Winter Simulation Conference - (WSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsc.2010.5678959.

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Zhai, Guangtao, Qian Chen, Xiaokang Yang, and Wenjun Zhang. "Scalable visual sensitivity profile estimation." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4517749.

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Xenos, Alexandros, John Pavlopoulos, and Ion Androutsopoulos. "Context Sensitivity Estimation in Toxicity Detection." In Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.woah-1.15.

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Solomatov, Grigory, and Derya Akkaynak. "Spectral Sensitivity Estimation Without a Camera." In 2023 IEEE International Conference on Computational Photography (ICCP). IEEE, 2023. http://dx.doi.org/10.1109/iccp56744.2023.10233713.

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Gao, Lin, Shuxu Guo, Shudong Chen, Shuang Zhang, and Xin Guo. "Sensitivity Estimation of JOM-4 Overhauser Magnetometer." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8998069.

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Zhou, Tong. "Robust state estimation using error sensitivity penalizing." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4738615.

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Khan, Fakhri Alam, Yuzhang Han, Sabri Pllana, and Peter Brezany. "Estimation of Parameters Sensitivity for Scientific Workflows." In 2009 International Conference on Parallel Processing Workshops (ICPPW). IEEE, 2009. http://dx.doi.org/10.1109/icppw.2009.9.

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Hermann, Boris, Harald Sattmann, Kostadinka K. Bizheva, et al. "Sensitivity estimation of spectroscopic optical coherence tomography." In International Symposium on Biomedical Optics, edited by Valery V. Tuchin, Joseph A. Izatt, and James G. Fujimoto. SPIE, 2002. http://dx.doi.org/10.1117/12.470475.

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Reports on the topic "Sensitivity estimation"

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Andrews, Isaiah, Matthew Gentzkow, and Jesse Shapiro. Measuring the Sensitivity of Parameter Estimates to Estimation Moments. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20673.

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Lund, Margaret. Estimation, UQ, and Sensitivity Analysis for a New Diagnostic Setup. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1872099.

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Smith, Thomas Michael, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr, and Timothy Michael Wildey. Thermal hydraulic simulations, error estimation and parameter sensitivity studies in Drekar::CFD. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1204072.

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Adams, Brian M., Mohamed Salah Ebeida, Michael S. Eldred, et al. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis :. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1177077.

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Eldred, Michael Scott, Dena M. Vigil, Keith R. Dalbey, et al. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1031910.

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Jalles, João Tovar. Estimating Structural Budget Balances in Developing Asia. Asian Development Bank, 2024. http://dx.doi.org/10.22617/wps240087-2.

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This paper reviews the current discussions, methods and practices surrounding the estimation of reasonable proxies for the underlying fiscal position, a useful anchor for fiscal policy. An empirical application to developing Asian economies is carried out. There is no one-size fits all type of approach and the sensitivity and discernment regarding specific economies are important in various stages.
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de Paula, Áureo, Thomas Jorgensen, and Bo E. Honoré. Sensitivity of Estimation Precision to Moments with an Application to a Model of Joint Retirement Planning of Couples. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.3619.

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ELDRED, MICHAEL S., ANTHONY A. GIUNTA, BART G. VAN BLOEMEN WAANDERS, STEVEN F. WOJTKIEWICZ, JR, WILLIAM E. HART, and MARIO ALLEVA. DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/800774.

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Griffin, Joshua D., Michael Scott Eldred, Monica L. Martinez-Canales, et al. DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/895073.

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Griffin, Joshua D., Michael Scott Eldred, Monica L. Martinez-Canales, et al. DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/895703.

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