Detection of outliers in simple circular regression models using the mean circular error statistic
The investigation on the identification of outliers in linear regression models can be extended to those for circular regression case. In this paper, we propose a new numerical statistic called mean circular error to identify possible outliers in circular regression models by using a row deletion ap...
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | Article |
| 语言: | English |
| 出版: |
Taylor & Francis
2013
|
| 主题: | |
| 在线阅读: | http://eprints.um.edu.my/10160/1/Detection_of_outliers_in_simple_circular_regression_models_using.pdf http://eprints.um.edu.my/10160/ |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 总结: | The investigation on the identification of outliers in linear regression models can be extended to those for circular regression case. In this paper, we propose a new numerical statistic called mean circular error to identify possible outliers in circular regression models by using a row deletion approach. Through intensive simulation studies, the cut-off points of the statistic are obtained and its power of performance investigated.It is found that the performance improves as the concentration parameter of circular residuals becomes larger or the sample size becomes smaller. As an illustration, the statistic is applied to a wind direction data set. |
|---|