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, 2022
Abstract 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, 2007
In 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., 2005
Assessments 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, 1985
By 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, 1962
The 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

2018
This 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, 1986
Activated 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, 1991
A 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, 2000
Decision 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, 2005
The 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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