TITLE:
On Discordance Tests for the Wrapped Cau-chy Distribution
AUTHORS:
A. H. Abuzaid, M. M. El-hanjouri, M. M. Kulab
KEYWORDS:
Arc Length, Circular Distance, Outlier, Wrapped Normal Distribution
JOURNAL NAME:
Open Journal of Statistics,
Vol.5 No.4,
May
22,
2015
ABSTRACT: Circular data as any other types of data are subjected to contamination with some unexpected observations which are known outliers. In this paper, four tests of discordancy for circular data based on M, C, D, and A statistics are extended to the wrapped Cauchy distribution to detect possible outliers. The cut-off points and the power of performances are investigated via extensive simulation study. Results show that tests perform better as the concentration of the samples is increased. Two real circular data sets are analysed for illustration.