Review on circular-linear regression models

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

Review on circular-linear regression models.pdf
Available under License Creative Commons Attribution.

Download (553kB) | Preview


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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Data characteristics; Dependent variables; Growing bodies; Linear regression models; Statistics method
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
T Technology > T Technology (General)
Faculty/Division: Center for Mathematical Science
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 26 Oct 2022 01:55
Last Modified: 26 Oct 2022 01:55
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item