On finite-sample robustness of directional location estimators

DOI10.1016/j.csda.2018.08.028OpenAlexW2891757268MaRDI QIDQ1727894

Giuseppe Pandolfo, Giancarlo Ragozini, Thomas Kirschstein, Giovanni C. Porzio, Steffen Liebscher

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.08.028

zbMATH Keywords

robust estimationdirectional dataMAX-biasmean directionmedian direction

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items

Distance-based directional depth classifiers: a robustness study, On the optimality of the max-depth and max-rank classifiers for spherical data.

Uses Software

• STRIPACK
• ICSNP
• LBFGS-B
• microbenchmark
• Directional

Cites Work

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