Trimmed estimator for circular–circular regression: breakdown properties and an exact algorithm for computation
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Publication:5072992
DOI10.1080/02331888.2022.2066673zbMath1493.62288OpenAlexW4224979570MaRDI QIDQ5072992
Tsung-Chi Cheng, Jayant Jha, Atanu Biswas
Publication date: 5 May 2022
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2022.2066673
Cites Work
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- Robust estimation of location and concentration parameters for the von Mises-Fisher distribution
- SB-robust estimator for the concentration parameter of circular normal distribution
- Modelling circular random variables with a spike at zero
- Trimming and likelihood: Robust location and dispersion estimation in the elliptical model
- Robust estimation for circular data
- Robust estimation of the concentration parameter of the von Mises-Fisher distribution
- Breakdown points of trimmed likelihood estimators and related estimators in generalized linear models.
- An exact polynomial time algorithm for computing the least trimmed squares estimate
- Robust regression: Asymptotics, conjectures and Monte Carlo
- Addendum to the discussion of ``Breakdown and groups
- Breakdown and groups. (With discussions and rejoinder)
- Least Median of Squares Regression
- Robust Estimation of the Concentration Parameter of Fisher's Distribution on the Sphere
- About Regression Estimators with High Breakdown Point
- TRIMMED LIKELIHOOD ESTIMATION OF LOCATION AND SCALE OF THE NORMAL DISTRIBUTION
- Circular regression
- The rotation group in plate tectonics and the representation of uncertainties of plate reconstructions
- Multiple circular–circular regression
- Outlier Detection in a Circular Regression Model UsingCOVRATIOStatistic
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