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Journal articles on the topic 'Sensitivity Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Plümper, Thomas, and Richard Traunmüller. "The sensitivity of sensitivity analysis." Political Science Research and Methods 8, no. 1 (2018): 149–59. http://dx.doi.org/10.1017/psrm.2018.30.

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AbstractThis article evaluates the reliability of sensitivity tests. Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of variables. Second and more importantly, our results also demonstrate that inferences based on sensitivity tests are most likely to be valid if determinants and confounders are almost uncorrelated and if the variables included in the true model exert a strong influence on outcomes. Third, no definition of robustness reliably avoids both false positives and false negatives. We find that for a wide variety of

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2

Yunanto, Muhamad, and Henny Medyawati. "Fiscal Policy and Monetary Policy: Sensitivity Analysis." International Journal of Trade, Economics and Finance 6, no. 2 (2015): 79–84. http://dx.doi.org/10.7763/ijtef.2015.v6.447.

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3

Dragičević, N., B. Karleuša, and N. Ožanić. "Erosion Potential Method (Gavrilović method) sensitivity analysis." Soil and Water Research 12, No. 1 (2017): 51–59. http://dx.doi.org/10.17221/27/2016-swr.

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In recent decades, various methods for erosion intensity and sediment production assessment have been developed. The necessity for better model performance has led to the more frequent application of the method sensitivity and uncertainty assessments in order to decrease errors that arise from the model concept and its main assumptions. The analysis presented in this paper refers to the application of the Gavrilović method (Erosion Potential Method), an empirical and semi-quantitative method that can estimate the amount of sediment production and sediment transport as well as the erosion inten

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4

Qichang An, Qichang An, Jingxu Zhang Jingxu Zhang, Fei Yang Fei Yang, and Hongchao Zhao Hongchao Zhao. "Normalized point source sensitivity analysis in GSSM prototype." Chinese Optics Letters 15, no. 11 (2017): 111202. http://dx.doi.org/10.3788/col201715.111202.

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5

Klimoski, Richard. "Introduction: Sensitivity Analysis." Academy of Management Learning & Education 5, no. 4 (2006): 461–62. http://dx.doi.org/10.5465/amle.2006.23473206.

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6

Wagner, Harvey M. "Global Sensitivity Analysis." Operations Research 43, no. 6 (1995): 948–69. http://dx.doi.org/10.1287/opre.43.6.948.

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7

Seth, A. K. "Network Sensitivity Analysis." IETE Technical Review 2, no. 12 (1985): 399–407. http://dx.doi.org/10.1080/02564602.1985.11437861.

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8

Allaire, Douglas L., and Karen E. Willcox. "Distributional sensitivity analysis." Procedia - Social and Behavioral Sciences 2, no. 6 (2010): 7595–96. http://dx.doi.org/10.1016/j.sbspro.2010.05.134.

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9

Irving, A. D. "Stochastic sensitivity analysis." Applied Mathematical Modelling 16, no. 1 (1992): 3–15. http://dx.doi.org/10.1016/0307-904x(92)90110-o.

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10

Somayajula, Gopichand, and James E. Bernard. "Grid sensitivity analysis." Finite Elements in Analysis and Design 7, no. 4 (1991): 307–15. http://dx.doi.org/10.1016/0168-874x(91)90046-2.

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11

Novotny, A. A., R. A. Feijóo, E. Taroco, and C. Padra. "Topological sensitivity analysis." Computer Methods in Applied Mechanics and Engineering 192, no. 7-8 (2003): 803–29. http://dx.doi.org/10.1016/s0045-7825(02)00599-6.

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12

Eschenbach, Ted G., and Robert J. Gimpel. "Stochastic Sensitivity Analysis." Engineering Economist 35, no. 4 (1990): 305–21. http://dx.doi.org/10.1080/00137919008903024.

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13

Molenberghs, Geert. "Incomplete Data in Clinical Studies: Analysis, Sensitivity, and Sensitivity Analysis." Drug Information Journal 43, no. 4 (2009): 409–29. http://dx.doi.org/10.1177/009286150904300404.

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14

Alam, Rafikul, and Sk Safique Ahmad. "Sensitivity Analysis of Nonlinear Eigenproblems." SIAM Journal on Matrix Analysis and Applications 40, no. 2 (2019): 672–95. http://dx.doi.org/10.1137/17m1153236.

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15

Kavka, M., M. Mimra, and F. Kumhála. "Sensitivity analysis of key operating parameters of combine harvesters." Research in Agricultural Engineering 62, No. 3 (2016): 113–21. http://dx.doi.org/10.17221/48/2015-rae.

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The sensitivity analysis of key operating parameters on the average annual sub-profit in a group of three combine harvesters operating in companies providing agricultural services were analysed. Based on the results of the cost analysis, the following key operating parameters with the greatest influence on the costs were identified: the purchase price of the machine, the price of fuel, maintenance costs, personnel costs and annual performance. These parameters were used in the sensitivity analysis to investigate their effect on unit costs. Changing the above-mentioned parameters is calculated

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16

Liu, Zhe, Fenghe Tao, and Changzhi Jia. "Reliability Sensitivity Analysis of Vehicle Components and Architecture Optimization." International Journal of Materials, Mechanics and Manufacturing 5, no. 2 (2017): 106–12. http://dx.doi.org/10.18178/ijmmm.2017.5.2.299.

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17

Zhou, Peiyuan, and Jinling Wang. "Stochastic Ionosphere Models for Precise GNSS Positioning: Sensitivity Analysis." Journal of Global Positioning Systems 12, no. 1 (2013): 53–60. http://dx.doi.org/10.5081/jgps.12.1.53.

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18

Singh, Nidhi, R. P Singh, Devendra Verma, and P. S Rao. "Sensitivity Analysis of MEMS-based four Beam Vector Hydrophone." International Journal of Scientific Engineering and Research 4, no. 9 (2016): 26–30. https://doi.org/10.70729/ijser15950.

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19

Doyle, James D., Clark Amerault, and Carolyn A. Reynolds. "Sensitivity analysis of mountain waves using an adjoint model." Meteorologische Zeitschrift 16, no. 6 (2007): 607–20. http://dx.doi.org/10.1127/0941-2948/2007/0236.

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20

Ibrahim, Joseph G. "Comment: Incomplete Data in Clinical Studies: Analysis, Sensitivity, and Sensitivity Analysis." Drug Information Journal 43, no. 4 (2009): 431–32. http://dx.doi.org/10.1177/009286150904300405.

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21

Molenberghs, Geert. "Incomplete Data in Clinical Studies: Analysis, Sensitivity, and Sensitivity Analysis—Rejoinder." Drug Information Journal 43, no. 4 (2009): 447–48. http://dx.doi.org/10.1177/009286150904300409.

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22

Huang, Wen, Danylo Khilko, Sergiĭ Kolyada, and Guohua Zhang. "Dynamical compactness and sensitivity." Journal of Differential Equations 260, no. 9 (2016): 6800–6827. http://dx.doi.org/10.1016/j.jde.2016.01.011.

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23

Puy, Arnald, Samuele Lo Piano, and Andrea Saltelli. "A sensitivity analysis of the PAWN sensitivity index." Environmental Modelling & Software 127 (May 2020): 104679. http://dx.doi.org/10.1016/j.envsoft.2020.104679.

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24

Puy, Arnald, Piano Samuele Lo, and Andrea Saltelli. "A sensitivity analysis of the PAWN sensitivity index." Environmental Modelling & Software 127 (February 26, 2020): 104679. https://doi.org/10.1016/j.envsoft.2020.104679.

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The PAWN index is gaining traction among the modelling community as a sensitivity measure. However, the robustness to its design parameters has not yet been scrutinized: the size (N) and sampling (\(\epsilon\)) of the model output, the number of conditioning intervals (\(n\)) or the summary statistic (\(\theta\)). Here we fill this gap by running a sensitivity analysis of a PAWN-based sensitivity analysis. We compare the results with the design uncertainties of the Sobol’ total-order index (\(S^*_{Ti}\).) Unlike in \(S^*_{Ti}\) , the design uncertaintie

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25

Kabala, Z. J., and P. C. D. Milly. "Sensitivity analysis of partial differential equations: A case for functional sensitivity." Numerical Methods for Partial Differential Equations 7, no. 2 (1991): 101–12. http://dx.doi.org/10.1002/num.1690070202.

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26

Tanaka, Yutaka, and Tomoyuki Tarumi. "SENSITIVITY ANALYSIS IN CANONICAL FACTOR ANALYSIS." Journal of the Japanese Society of Computational Statistics 2, no. 1 (1989): 9–20. http://dx.doi.org/10.5183/jjscs1988.2.9.

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27

Mateo, Zenaida F., Yoshimasa Odaka, and Yutaka Tanaka. "SENSITIVITY ANALYSIS IN FACTOR ANALYSIS REGRESSION." Journal of the Japanese Society of Computational Statistics 6, no. 1 (1993): 11–24. http://dx.doi.org/10.5183/jjscs1988.6.11.

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28

F. Mateo, Zenaida, Yoshimasa Odaka, and Yutaka Tanaka. "Sensitivity Analysis in Alpha Factor Analysis." Japanese Journal of Biometrics 14, no. 1/2 (1993): 1–15. http://dx.doi.org/10.5691/jjb.14.1.

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29

Agarwal, Shivi, Shiv Prasad Yadav, and S. P. Singh. "Sensitivity analysis in data envelopment analysis." International Journal of Operational Research 19, no. 2 (2014): 174. http://dx.doi.org/10.1504/ijor.2014.058948.

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30

Debrunner, Victor E., and A. A. (Louis) Beex. "Sensitivity Analysis of Digital Filter Structures." SIAM Journal on Matrix Analysis and Applications 9, no. 1 (1988): 106–25. http://dx.doi.org/10.1137/0609009.

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31

Gandelman, Dan Abensur, Angela Oliveira Da Costa, Rafael Barros Araujo, Kriseida C. P. G. Alekseev, and Marina Damião Besteti Ribeiro. "CBIO price sensitivity analysis." Rio Oil and Gas Expo and Conference 20, no. 2020 (2020): 263–64. http://dx.doi.org/10.48072/2525-7579.rog.2020.263.

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32

Lee, Young-Jae. "Transit Network Sensitivity Analysis." Journal of Public Transportation 9, no. 1 (2006): 21–52. http://dx.doi.org/10.5038/2375-0901.9.1.2.

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33

Link, William A., and Paul F. Doherty. "SCALING IN SENSITIVITY ANALYSIS." Ecology 83, no. 12 (2002): 3299–305. http://dx.doi.org/10.1890/0012-9658(2002)083[3299:sisa]2.0.co;2.

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34

Jun-Qiang Sun and Xiaoxiong Xiong. "MODIS Polarization-Sensitivity Analysis." IEEE Transactions on Geoscience and Remote Sensing 45, no. 9 (2007): 2875–85. http://dx.doi.org/10.1109/tgrs.2007.900672.

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35

Torn, Ryan D., and Gregory J. Hakim. "Ensemble-Based Sensitivity Analysis." Monthly Weather Review 136, no. 2 (2008): 663–77. http://dx.doi.org/10.1175/2007mwr2132.1.

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Abstract The sensitivity of forecasts to observations is evaluated using an ensemble approach with data drawn from a pseudo-operational ensemble Kalman filter. For Gaussian statistics and a forecast metric defined as a scalar function of the forecast variables, the effect of observations on the forecast metric is quantified by changes in the metric mean and variance. For a single observation, expressions for these changes involve a product of scalar quantities, which can be rapidly evaluated for large numbers of observations. This technique is applied to determining climatological forecast sen

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36

De Camillis, Luca, Giulio Antonini, and Vikram Jandhyala. "Power-Bus Sensitivity Analysis." IEEE Transactions on Advanced Packaging 33, no. 2 (2010): 447–56. http://dx.doi.org/10.1109/tadvp.2009.2022322.

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37

Vytyaz, Igor, David C. Lee, Pavan Kumar Hanumolu, Un-Ku Moon, and Kartikeya Mayaram. "Sensitivity Analysis for Oscillators." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 27, no. 9 (2008): 1521–34. http://dx.doi.org/10.1109/tcad.2008.927731.

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38

Cheng, A. Y., and D. S. Yeung. "Sensitivity analysis of neocognitron." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 29, no. 2 (1999): 238–49. http://dx.doi.org/10.1109/5326.760568.

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39

Ding, Peng, and Tyler J. VanderWeele. "Sensitivity Analysis Without Assumptions." Epidemiology 27, no. 3 (2016): 368–77. http://dx.doi.org/10.1097/ede.0000000000000457.

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40

Ponce, Victor Miguel, and Diane Windingland. "Kinematic Shock: Sensitivity Analysis." Journal of Hydraulic Engineering 111, no. 4 (1985): 600–611. http://dx.doi.org/10.1061/(asce)0733-9429(1985)111:4(600).

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41

Tune, Paul, and Matthew Roughan. "Network-design sensitivity analysis." ACM SIGMETRICS Performance Evaluation Review 42, no. 1 (2014): 449–61. http://dx.doi.org/10.1145/2637364.2591979.

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42

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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43

Flaig, John J. "PROCESS CAPABILITY SENSITIVITY ANALYSIS." Quality Engineering 11, no. 4 (1999): 587–92. http://dx.doi.org/10.1080/08982119908919279.

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44

Baucells, Manel, and Emanuele Borgonovo. "Invariant Probabilistic Sensitivity Analysis." Management Science 59, no. 11 (2013): 2536–49. http://dx.doi.org/10.1287/mnsc.2013.1719.

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45

Hughes, Christopher, and Katharine Kostbade Hughes. "N-Way Sensitivity Analysis." Medical Decision Making 10, no. 1 (1990): 68–74. http://dx.doi.org/10.1177/0272989x9001000110.

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46

Borgonovo, Emanuele, and Stefano Tarantola. "Advances in sensitivity analysis." Reliability Engineering & System Safety 107 (November 2012): 1–2. http://dx.doi.org/10.1016/j.ress.2012.09.001.

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47

Colonna, G., S. Longo, F. Esposito, and M. Capitelli. "Fourier-transform sensitivity analysis." Applied Physics B Laser and Optics 59, no. 1 (1994): 61–72. http://dx.doi.org/10.1007/bf01081729.

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48

Rezaiee-Pajand, M., and M. R. Salary. "Two-dimensional sensitivity analysis." Computers & Structures 61, no. 3 (1996): 563–71. http://dx.doi.org/10.1016/0045-7949(96)00059-4.

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49

Nguyen, Duc T. "Multilevel substructuring sensitivity analysis." Computers & Structures 25, no. 2 (1987): 191–202. http://dx.doi.org/10.1016/0045-7949(87)90142-8.

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50

Kalaba, R., and L. Tesfatsion. "Nonlocal automated sensitivity analysis." Computers & Mathematics with Applications 20, no. 2 (1990): 53–65. http://dx.doi.org/10.1016/0898-1221(90)90241-b.

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