This paper presents the identification of outliers in multiple circular regression model
(MCRM), where the model studies the relationship between two or more circular variables …

The existence of outlier may affect data aberrantly. However, outlier detection problem has
been frequently discussed for linear data but limited on circular data. Thus, this paper …

Recently, there is strong interest on the subject of outlier problem in circular data. In this
paper, we focus on detecting outliers in a circular regression model proposed by Down and …

A number of circular regression models have been proposed in the literature. In recent
years, there is a strong interest shown on the subject of outlier detection in circular …

The existence of outliers in any type of data affects the estimation of models' parameters. To
date there are very few literatures on outlier detection tests in circular regression and it …

Outlier detection is a concern in data analysis, as anomalous observation can have
consequence pertaining to the inference made from the analysis. Numerous diagnostic tools …

In regression analysis, an outlier is an observation for which the residual is large in
magnitude compared to other observations in the data set. The investigation on the …

Outlier detection has been used extensively in data analysis to detect anomalous
observation in data. It has important applications such as in fraud detection and robust …

This study looks at three problems related to the JS circular regression model with five
objectives in mind. The first two objectives are concerned with the problem of outliers in the …

Detection of outlier in circular data and single circular regression have received much
attention. Several diagrammatical plots and numerical presentation have been proposed to …