Results 251 to 260 of about 2,737,612 (273)
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An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables
SSRN Electronic Journal, 2022Abstract We develop an omitted variable bias framework for sensitivity analysis of instrumental variable estimates that naturally handles multiple side effects (violations of the exclusion restriction assumption) and confounders (violations of the ignorability of the instrument assumption) of the instrument, exploits expert knowledge to ...
Carlos Cinelli, Chad Hazlett
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Multipoint diffraction strain sensor with variable sensitivity
Applied Optics, 2007In our earlier work, a multipoint diffraction strain sensor using a microlens array was developed for measurement of whole-field strains. The method is extended to a system with variable sensitivity and measurement range. In the present system, two collimated laser beams, 3 mm in diameter, symmetrically strike the grating attached to the specimen ...
Jun, Wang +3 more
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Ecosystem sensitivity to climate variability
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005Assessments of ecosystem sensitivity to climate variability are mostly qualitative. However, understanding the complex interactions between climate and ecosystems requires a quantitative analysis. In the present study, we developed a quantitative approach to assess ecosystem sensitivity to climate variability.
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Variable sensitivity shadow moire method
The Journal of Strain Analysis for Engineering Design, 1985By simply rotating the reference grating in its own plane, the sensitivity of the shadow moire method can be continuously varied. This approach can additionally assist in distinguishing hills and valleys. Application to foot pressure measurement is demonstrated.
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Variable Transmission Silicate Glasses Sensitive to Sunlight
Science, 1962The process of variable transmission in silicate glasses has been accomplished by optically pumping color centers by electron transfer from europium (II) or cerium (III) which absorb sunlight at higher energies than the color center. Absorbed energy quickly pumps the visible color center band to a maximum.
A J, Cohen, H L, Smith
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Sensitivity Analysis and Variable Screening
2018This chapter discusses sensitivity analysis and the related topic of variable screening. The setup is as follows. A vector of inputs \(\boldsymbol{x} = (x_{1},\ldots,x_{d})\) is given which potentially affects a “response” function \(y(\boldsymbol{x}) = y(x_{1},\ldots,x_{d})\). Sensitivity analysis seeks to quantify how variation in \(y(\boldsymbol{x})\
Thomas J. Santner +2 more
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Variability in Heparin Sensitivity of APTT Reagents
American Journal of Clinical Pathology, 1986Activated partial thromboplastin time (APTT) is the most widely used coagulation test for monitoring heparin therapy. This study quantitates the differences in heparin sensitivity of seven commercially available APTT reagents, using plasma samples obtained from 20 subjects. The reagents studied were Actin, Actin FS, Automated APTT, Cephotest, Coagachek
T D, Bjornsson, P V, Nash
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Dynamic optical neurochip using variable-sensitivity photodiodes
Optics Letters, 1991A novel type of a dynamic optical neurochip that uses sensitivity-variable photodiodes (VSPD's) as variable interconnection weight elements is proposed and analyzed. The chip consists of the line-shaped light-emitting diode array and the VSPD matrix array. A monolithic integration of these arrays is presented.
J, Ohta, Y, Nitta, K, Kyuma
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Sensitivity Analysis for Dependent Variables*
Decision Sciences, 2000Decision analysts use sensitivity analysis to identify influential variables, to determine which input variables to model stochastically, and to characterize scenarios that could affect a change in the rank ordering of the alternatives. A frequently recommended sensitivity analysis technique is “one‐way” sensitivity analysis, which determines a ...
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Complex Variable Method for Eigensolution Sensitivity Analysis
AIAA Journal, 2005The application of complex variable method (CVM) for eigenvalue and eigenvector sensitivity analysis is presented. Gradi ent -based methods usually used in structural optimization require accurate sensitivity information. CVM is accurate, robust and easy to implement as compared to other approximate sensitivity analysis methods. By CVM, the first order
Bo Wang, Aditya Apte
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