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SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs [PDF]

Journal of Statistical Software, 2006
Recently, new nonparametric multivariate extensions of the univariate sign methods have been proposed. Randles (2000) introduced an affine invariant multivariate sign test for the multivariate location problem. Later on, Hettmansperger and Randles (2002)
Jaakko Nevalainen, Hannu Oja
doaj   +4 more sources

Optimal input signal design for closed loop aircraft flutter model analysis [PDF]

Scientific Reports
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
doaj   +2 more sources

Implementation of Non-Linear Non-Parametric Persistent Scatterer Interferometry and Its Robustness for Displacement Monitoring

Sensors, 2021
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, Masashi Matsuoka, Marco Defilippi, Paolo Pasquali   +3 more
doaj   +1 more source

An improved multiply robust estimator for the average treatment effect

BMC Medical Research Methodology, 2023
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, Kecheng Wei, Chen Huang, Yongfu Yu, Guoyou Qin   +4 more
doaj   +1 more source

On the Robustness and Sensitivity of Several Nonparametric Estimators via the Influence Curve Measure: A Brief Study

Mathematics, 2022
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
doaj   +1 more source

Simpson's aggregation paradox in nonparametric statistical analysis: Theory, computation, and susceptibility in public health data

Frontiers in Applied Mathematics and Statistics, 2023
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, Justin Ehrlich, James Boudreau   +2 more
doaj   +1 more source

Nonparametric frontier estimation: a robust approach [PDF]

Journal of Econometrics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cazals, Catherine, Florens, Jean-Pierre, Simar, Léopold   +2 more
openaire   +5 more sources

A Wilcoxon–Mann–Whitney Test for Latent Variables

Frontiers in Psychology, 2021
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, Jan De Neve, Yves Rosseel   +2 more
doaj   +1 more source

Customized yet Standardized Temperature Derivatives: A Non-Parametric Approach with Suitable Basis Selection for Ensuring Robustness

Energies, 2021
Previous studies have demonstrated that non-parametric hedging models using temperature derivatives are highly effective in hedging profit/loss fluctuation risks for electric utilities.
Takuji Matsumoto, Yuji Yamada
doaj   +1 more source

Mortality Forecasting: How Far Back Should We Look in Time?

Risks, 2019
Extrapolative methods are one of the most commonly-adopted forecasting approaches in the literature on projecting future mortality rates. It can be argued that there are two types of mortality models using this approach.
Han Li, Colin O’Hare
doaj   +1 more source