Detection of outliers in univariate circular data by means of the outlier local factor (LOF)
AH Abuzaid - Statistics in Transition. New Series, 2020 - ceeol.com
The problem of outlier detection in univariate circular data was the object of increased
interest over the last decade. New numerical and graphical methods were developed for …
interest over the last decade. New numerical and graphical methods were developed for …
Comparative study of outlier detection methods on multivariate eye data via multiple circular regression model
Detection of outlier in circular data and single circular regression have received much
attention. Several diagrammatical plots and numerical presentation have been proposed to …
attention. Several diagrammatical plots and numerical presentation have been proposed to …
Outlier detection method in multiple circular regression model via robust circular distance
The method of outlier detection with regards to circular regression have been widely
developed nowadays. Several diagrammatical plots, numerical presentation as well as …
developed nowadays. Several diagrammatical plots, numerical presentation as well as …
A review of detecting outlier in a circular regression model
Circular data is very relevant and important application technique in many fields such as
physical science, medical science and others. During the last few years, writers have shown …
physical science, medical science and others. During the last few years, writers have shown …
Comparison on the Performance of Several Outlier Detection Methods in Univariate Circular Wrapped Normal Sample
This study focuses on detecting a single outlier in circular data generated from a wrapped
normal (WN) distribution. The discordancy tests of M, A and G 1 statistics are used to detect …
normal (WN) distribution. The discordancy tests of M, A and G 1 statistics are used to detect …