wle

R package wle: Weighted Likelihood Estimation. Approach to the robustness via Weighted Likelihood.

Keywords for this software

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References in zbMATH (referenced in 11 articles , 1 standard article )

Showing results 1 to 11 of 11.
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  1. Beyaztas, Ufuk; Shang, Han Lin: A robust partial least squares approach for function-on-function regression (2022)
  2. Sau, Mercedes Fernandez; Rodriguez, Daniela: Minimum distance method for directional data and outlier detection (2018)
  3. Atkinson, Anthony C.; Corbellini, Aldo; Riani, Marco: Robust Bayesian regression with the forward search: theory and data analysis (2017)
  4. Verdebout, Thomas: On the efficiency of some rank-based test for the homogeneity of concentrations (2017)
  5. Elsaied, Hanan; Fried, Roland: Tukey’s M-estimator of the Poisson parameter with a special focus on small means (2016)
  6. Kato, Shogo; Eguchi, Shinto: Robust estimation of location and concentration parameters for the von Mises-Fisher distribution (2016)
  7. Schlittgen, Rainer: Regression analyses with R (2013)
  8. Henry, Guillermo; Rodriguez, Daniela: Robust nonparametric regression on Riemannian manifolds (2009)
  9. Wouters, Heidi; Thas, Olivier; Ottoy, Jean-Pierre: Data-driven smooth tests and a diagnostic tool for lack-of-fit for circular data (2009)
  10. Taylor, Charles C.: Automatic bandwidth selection for circular density estimation (2008)
  11. Agostinelli, Claudio: Robust estimation for circular data (2007)