Identifying Outlier Observations in Linear - Circular Regression Model
One way to identify outlier observations in regression models, is to measure the difference between the observations and their expected values under fitted model. This identification in circular regression, is possible by using of a circular distance. In this paper, the Difference of Means Circular...
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| Format: | Article |
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Kharazmi University
2020-05-01
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| Series: | پژوهشهای ریاضی |
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| Online Access: | http://mmr.khu.ac.ir/article-1-2790-en.html |
| _version_ | 1827991197079044096 |
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| author | Seyede Sedighe Azimi Mohammad Reza Farid Rohani |
| author_facet | Seyede Sedighe Azimi Mohammad Reza Farid Rohani |
| author_sort | Seyede Sedighe Azimi |
| collection | DOAJ |
| description | One way to identify outlier observations in regression models, is to measure the difference between the observations and their expected values under fitted model. This identification in circular regression, is possible by using of a circular distance. In this paper, the Difference of Means Circular Error statistic that was introduced by Abuzaid et al. [1] for outlier detection in simple circular regression, is applied in linear-circular regression model and the cut-off points of this statistic are obtained by Monte Carlo simulations. In addition, the performance of this statistic is investigated with some simulation studies. Finally, this statistic is applied to identify outlier observations in speed and direction wind data set recorded at Mehrabad weather station in Tehran with parametric Bootstrap simulation method../files/site1/files/61/10.pdf |
| first_indexed | 2024-04-10T00:46:47Z |
| format | Article |
| id | doaj.art-0a70701542584bfca99cb10c04100745 |
| institution | Directory Open Access Journal |
| issn | 2588-2546 2588-2554 |
| language | fas |
| last_indexed | 2024-04-10T00:46:47Z |
| publishDate | 2020-05-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | پژوهشهای ریاضی |
| spelling | doaj.art-0a70701542584bfca99cb10c041007452023-03-13T19:21:49ZfasKharazmi Universityپژوهشهای ریاضی2588-25462588-25542020-05-016199108Identifying Outlier Observations in Linear - Circular Regression ModelSeyede Sedighe Azimi0Mohammad Reza Farid Rohani1 One way to identify outlier observations in regression models, is to measure the difference between the observations and their expected values under fitted model. This identification in circular regression, is possible by using of a circular distance. In this paper, the Difference of Means Circular Error statistic that was introduced by Abuzaid et al. [1] for outlier detection in simple circular regression, is applied in linear-circular regression model and the cut-off points of this statistic are obtained by Monte Carlo simulations. In addition, the performance of this statistic is investigated with some simulation studies. Finally, this statistic is applied to identify outlier observations in speed and direction wind data set recorded at Mehrabad weather station in Tehran with parametric Bootstrap simulation method../files/site1/files/61/10.pdfhttp://mmr.khu.ac.ir/article-1-2790-en.htmllinear - circular regression modeloutlier observationdifference of means circular error |
| spellingShingle | Seyede Sedighe Azimi Mohammad Reza Farid Rohani Identifying Outlier Observations in Linear - Circular Regression Model پژوهشهای ریاضی linear - circular regression model outlier observation difference of means circular error |
| title | Identifying Outlier Observations in Linear - Circular Regression Model |
| title_full | Identifying Outlier Observations in Linear - Circular Regression Model |
| title_fullStr | Identifying Outlier Observations in Linear - Circular Regression Model |
| title_full_unstemmed | Identifying Outlier Observations in Linear - Circular Regression Model |
| title_short | Identifying Outlier Observations in Linear - Circular Regression Model |
| title_sort | identifying outlier observations in linear circular regression model |
| topic | linear - circular regression model outlier observation difference of means circular error |
| url | http://mmr.khu.ac.ir/article-1-2790-en.html |
| work_keys_str_mv | AT seyedesedigheazimi identifyingoutlierobservationsinlinearcircularregressionmodel AT mohammadrezafaridrohani identifyingoutlierobservationsinlinearcircularregressionmodel |