A New Discordancy Test in Circular Data Using Spacings Theory

作者：Mohamed I B^*; Rambli A; Khaliddin N; Ibrahim A I N

来源：Communications in Statistics - Simulation and Computation, 2016, 45(8): 2904-2916.

DOI：10.1080/03610918.2014.932799

• Circular
• G(a)-statistic
• Outlier
• Patch of outliers
• Spacing

In this article, we propose a new test of discordancy based on spacing theory in circular data. The test should provide a good alternative to existing tests of discordancy for detecting single or well-separated multiple outliers. On top of that, the new method can be generalized to identify a patch of outliers in data. The percentage points are calculated and the performance is examined. We first investigate the performance of the test for detecting a single outlier and show that the new test performs well compared to other known tests. We then show that the generalized test works well in detecting a patch of outliers in the data. As an illustration, a practical example based on an eye dataset obtained from a glaucoma clinic at the University of Malaya Medical Center, Malaysia is presented.

• 出版日期2016