Results 11 to 20 of about 22,874 (259)
The use of influence curve as a measure of sensitivity is not new in the literature but has not been properly explored to the best of our knowledge. In particular, the mathematical derivation of the influence function for several popular nonparametric ...
Indranil Ghosh, Kathleen Fleming
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Laplace Transform-Based Nonparametric Test of Exponentiality against DMRL class with preservation under the Homogeneous Poisson Shock Model and applications in survival analysis and reliability. [PDF]
This paper introduces a novel, computationally efficient nonparametric test for assessing the null hypothesis of exponentiality against alternatives belonging to the Decreasing Mean Residual Life (DMRL) class.
Eman S El-Atfy +5 more
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Optimal input signal design for closed loop aircraft flutter model analysis [PDF]
Input signal design is very important in academy and practice, as it affects the estimation accuracy and control performance. This paper extends our previous open loop aircraft flutter model analysis to more general closed loop case, as closed loop ...
Wang Jianhong
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Robustness and inference in nonparametric partial frontier modeling [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdelaati Daouia, Irène Gijbels
exaly +9 more sources
To derive surface displacement, interferometric stacking with synthetic aperture radar (SAR) data is commonly used, and this technique is now in the implementation phase in the real world.
Fumitaka Ogushi +3 more
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An improved multiply robust estimator for the average treatment effect
Background In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (ATE). However,
Ce Wang +4 more
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Nonparametric frontier estimation: a robust approach [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cazals, Catherine +2 more
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This study establishes sufficient conditions for observing instances of Simpson's (data aggregation) Paradox under rank sum scoring (RSS), as used, e.g., in the Wilcoxon-Mann-Whitney (WMW) rank sum test.
Shane Sanders +2 more
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A Wilcoxon–Mann–Whitney Test for Latent Variables
We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome variable is latent. We empirically demonstrate that the test can have superior power properties relative to tests based on Structural Equation Modeling for a
Heidelinde Dehaene +2 more
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Comparison the Robust Estimators Nonparametric of Nonparametric Regressions
In order to get rid of or reduce the abnormal values of some phenomena that may be the reason for not obtaining the desired results. This makes us to get conclusions far from reality for the phenomenon we are studying. That the traditional nonparametric estimators are very sensitive to anomalous values, which prompted us to use the fortified ...
Ali Fadhil Abduljabbar +1 more
openaire +2 more sources

