Outliers in circular data: a Bayesian approach

• Autores: Gonzalo Arnáiz Tovar, Carmen Ruiz
• Localización: Questiió: Quaderns d'Estadística, Sistemes, Informatica i Investigació Operativa, ISSN 0210-8054, Vol. 10, Nº. 1, 1986, págs. 1-6
• Idioma: inglés
• Títulos paralelos:
  • Observaciones anómalas en datos circulares: enfoque bayesiano
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• Resumen

  • The problem of outliers in circular data is studied from a Bayesian point of view. Susprising observations are identified by means of a predictive measure. On the basis of Box-Tiao methodology, the mean-shift model and some aspects of the contamination of the concentration parameter for a Von Mises distribution are analyzed. Intuitive aspects of the resultant weights and their applications in some classical examples are included