Review on circular-linear regression models
Classical linear statistics method is no longer appropriate when handling circular data since the data is influenced by direction or angle. Considering the possibility of circular data appeared as dependent variable, it has resulted in the remodeling of classic linear regression model into circular-...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing Ltd
2021
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/35391/1/Review%20on%20circular-linear%20regression%20models.pdf |
| _version_ | 1825814585140051968 |
|---|---|
| author | Hanin Hazwani, Mohammad Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff |
| author_facet | Hanin Hazwani, Mohammad Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff |
| author_sort | Hanin Hazwani, Mohammad |
| collection | UMP |
| description | Classical linear statistics method is no longer appropriate when handling circular data since the data is influenced by direction or angle. Considering the possibility of circular data appeared as dependent variable, it has resulted in the remodeling of classic linear regression model into circular-linear regression model over the past few decades. It is important to acknowledge these circular data characteristics as it can affect the descriptive and inference of statistical analysis. With the growing body of literature regarding this issue, this paper will review on circular-linear regression model by highlighting and exploring their benefits and limitations. |
| first_indexed | 2024-03-06T13:00:43Z |
| format | Conference or Workshop Item |
| id | UMPir35391 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:00:43Z |
| publishDate | 2021 |
| publisher | IOP Publishing Ltd |
| record_format | dspace |
| spelling | UMPir353912022-10-26T01:55:15Z http://umpir.ump.edu.my/id/eprint/35391/ Review on circular-linear regression models Hanin Hazwani, Mohammad Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff Q Science (General) QA Mathematics T Technology (General) Classical linear statistics method is no longer appropriate when handling circular data since the data is influenced by direction or angle. Considering the possibility of circular data appeared as dependent variable, it has resulted in the remodeling of classic linear regression model into circular-linear regression model over the past few decades. It is important to acknowledge these circular data characteristics as it can affect the descriptive and inference of statistical analysis. With the growing body of literature regarding this issue, this paper will review on circular-linear regression model by highlighting and exploring their benefits and limitations. IOP Publishing Ltd 2021-08-17 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/35391/1/Review%20on%20circular-linear%20regression%20models.pdf Hanin Hazwani, Mohammad and Siti Zanariah, Satari and Wan Nur Syahidah, Wan Yusoff (2021) Review on circular-linear regression models. In: Journal of Physics: Conference Series, Simposium Kebangsaan Sains Matematik ke-28 (SKSM28) , 28-29 July 2021 , Kuantan, Pahang. pp. 1-12., 1988. ISSN 1742-6588 (Published) https://doi.org/10.1088/1742-6596/1988/1/012108 |
| spellingShingle | Q Science (General) QA Mathematics T Technology (General) Hanin Hazwani, Mohammad Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff Review on circular-linear regression models |
| title | Review on circular-linear regression models |
| title_full | Review on circular-linear regression models |
| title_fullStr | Review on circular-linear regression models |
| title_full_unstemmed | Review on circular-linear regression models |
| title_short | Review on circular-linear regression models |
| title_sort | review on circular linear regression models |
| topic | Q Science (General) QA Mathematics T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/35391/1/Review%20on%20circular-linear%20regression%20models.pdf |
| work_keys_str_mv | AT haninhazwanimohammad reviewoncircularlinearregressionmodels AT sitizanariahsatari reviewoncircularlinearregressionmodels AT wannursyahidahwanyusoff reviewoncircularlinearregressionmodels |