Geodesic
Robust Estimation of the Spherical Normal Distribution
Mathematica Applicanda, Tome 50 (2022) no. 1, pp. 43-63.

Voir la notice de l'article provenant de la source Annales Societatis Mathematicae Polonae Series

This paper develops a new family of estimators, the minimum density power divergence estimators, for the parameters of the Spherical Normal Distribution. This family contains the maximum likelihood estimator as a particular case. The robustness is empirically illustrated through a Monte Carlo simulation study and two biological numerical examples. Tools needed to implement these methods are also provided.
DOI : 10.14708/ma.v50i1.7119
Classification : 94A15, 62F35, 65C05, 62H11
Mots-clés : Directional data, Divergence, Robustness, Spherical Normal distribution 
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Elena Castilla. Robust Estimation of the Spherical Normal Distribution. Mathematica Applicanda, Tome 50 (2022) no. 1, pp.  43-63. doi : 10.14708/ma.v50i1.7119. http://geodesic.mathdoc.fr/articles/10.14708/ma.v50i1.7119/

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