Outliers in circular data: a Bayesian approach.

@article{ArnaizTovar1986,
abstract = {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.},
author = {Arnaiz Tovar, Gonzalo, Ruiz Rivas, Carmen},
journal = {Qüestiió},
keywords = {Análisis bayesiano; Datos circulares; Distribución de Von Mises; Observaciones anómalas; Modelo de media trasladada},
language = {eng},
number = {1},
pages = {1-6},
title = {Outliers in circular data: a Bayesian approach.},
url = {http://eudml.org/doc/40044},
volume = {10},
year = {1986},
}

TY - JOUR
AU - Arnaiz Tovar, Gonzalo
AU - Ruiz Rivas, Carmen
TI - Outliers in circular data: a Bayesian approach.
JO - Qüestiió
PY - 1986
VL - 10
IS - 1
SP - 1
EP - 6
AB - 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.
LA - eng
KW - Análisis bayesiano; Datos circulares; Distribución de Von Mises; Observaciones anómalas; Modelo de media trasladada
UR - http://eudml.org/doc/40044
ER -