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Books on the topic 'Sensitivity estimation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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

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2

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

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3

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

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4

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

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5

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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6

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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7

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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8

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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9

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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10

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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11

C, 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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12

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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13

Estimating Climate Sensitivity Workshop (2003 Washington, D.C.). Estimating climate sensitivity: Report of a workshop. National Academies Press, 2003.

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14

Gunson, James R. Estimating open-ocean boundary conditions: Sensitivity studies. Woods Hole Oceanographic Institution, 1995.

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15

Gunson, James R. Estimating open-ocean boundary conditions: Sensitivity studies. Woods Hole Oceanographic Institution, 1995.

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16

A, Gabriele Gary, and United States. National Aeronautics and Space Administration., eds. An investigation of new methods for estimating parameter sensitivities. Dept. of Mechanical Engineering, Aeronautical Engineering & Mechanics, Rensselaer Polytechnic Institute, 1988.

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17

A, Gabriele Gary, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. An investigation of new methods for estimating parameter sensitivities. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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18

Gruber, Jonathan. Estimating price elasticities when there is smuggling: The sensitivity of smoking to price in Canada. National Bureau of Economic Research, 2002.

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19

Lee, Seung-Chul. A new power flow and sensitivity analysis method using a generalized power flow algorithm, interactive computer graphics, and artificial intelligence. 1985.

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20

Zimmerman, D. A. Comparison of Parameter Estimation and Sensitivity Analysis Techniques and Their Impact on the Uncertainty in Ground Water Flow Model Predictions. United States Government Printing, 1991.

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21

Estimating Climate Sensitivity. National Academies Press, 2003. http://dx.doi.org/10.17226/10787.

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22

Steering Committee on Probabilistic Estimates of Climate Sensitivity, National Research Council, Division on Earth and Life Studies Staff, and Board on Atmospheric Sciences and Climate Staff. Estimating Climate Sensitivity: Report of a Workshop. National Academies Press, 2003.

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23

WORKSHOP, ESTIMATING CLIMATE SENSITIVITY. Estimating Climate Sensitivity: Report Of A Workshop. National Academy Press, 2003.

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24

Cernat, Alexandru, and Joseph W. Sakshaug, eds. Measurement Error in Longitudinal Data. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198859987.001.0001.

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Understanding change is essential in most scientific fields. This is highlighted by the importance of issues such as shifts in public health and changes in public opinion regarding politicians and policies. Nevertheless, our measurements of the world around us are often imperfect. For example, measurements of attitudes might be biased by social desirability, while estimates of health may be marred by low sensitivity and specificity. In this book we tackle the important issue of how to understand and estimate change in the context of data that are imperfect and exhibit measurement error. The bo

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25

Modiano, Eduardo, and Oded Berman. Robust Regression and Sensitivity Analysis in Estimating Mutual Funds Performance, 1945-1964. Creative Media Partners, LLC, 2018.

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26

Software Support Cost Estimating Models: A Comparative Study of Model Content and Parameter Sensitivity. Storming Media, 1998.

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27

Giannitsis, Evangelos, and Hugo A. Katus. Biomarkers in acute coronary syndromes. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0036.

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Biomarker testing in the evaluation of a patient with acute chest pain is best established for cardiac troponins that allow the diagnosis of myocardial infarction, risk estimation of short- and long-term risk of death and myocardial infarction, and guidance of pharmacological therapy, as well as the need and timing of invasive strategy. Newer, more sensitive troponin assays have become commercially available and have the capability to detect myocardial infarction earlier and more sensitively than standard assays, but they are hampered by a lack of clinical specificity, i.e. the ability to disc

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28

Giannitsis, Evangelos, and Hugo A. Katus. Biomarkers in acute coronary syndromes. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0036_update_001.

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Biomarker testing in the evaluation of a patient with acute chest pain is best established for cardiac troponins that allow the diagnosis of myocardial infarction, risk estimation of short- and long-term risk of death and myocardial infarction, and guidance of pharmacological therapy, as well as the need and timing of invasive strategy. Newer, more sensitive troponin assays have become commercially available and have the capability to detect myocardial infarction earlier and more sensitively than standard assays, but they are hampered by a lack of clinical specificity, i.e. the ability to disc

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29

Giannitsis, Evangelos, and Hugo A. Katus. Biomarkers in acute coronary syndromes. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199687039.003.0036_update_002.

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Abstract:

Biomarker testing in the evaluation of a patient with acute chest pain is best established for cardiac troponins that allow the diagnosis of myocardial infarction, risk estimation of short- and long-term risk of death and myocardial infarction, and guidance of pharmacological therapy, as well as the need and timing of invasive strategy. Newer, more sensitive troponin assays have become commercially available and have the capability to detect myocardial infarction earlier and more sensitively than standard assays, but they are hampered by a lack of clinical specificity, i.e. the ability to disc

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30

Estimating the sensitivity of the screening tests used in the National Breast Screening Study: The application of three different methods. National Library of Canada = Bibliothèque nationale du Canada, 1993.

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