Outliers in Circular Data
研究了单变量圆形或方向数据样本中出现异常值的问题，探讨了检测方法、不一致性检验及其相对性能，并给出了实际应用案例。
SUMMARY In this paper we investigate problems connected with the appearance of surprising values in samples of univariate data that are circular or directional. We examine how their presence might be detected and describe possible tests of discordancy. The relative performance of the test procedures is investigated using Monte Carlo methods. A practical application of the discordancy tests is included.