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CPS2137 Intan Mastura R. et al.
References
1. Mardia, K. V. & Jupp, P. E. (2000). Directional Statistics. New York: John
Wiley & Sons.
2. Jammalamadaka, S. R. & A. SenGupta. (2001). Topic in Circular Statistics.
London: World Scientifics Publishing.
3. Fisher, N. I. (1993). Statistical Analysis of Circular Data. Cambridge
University Press.
4. Jammalamadaka, S. R. & Sarma, Y. R. (1993). Circular Regression. In:
Matsusita. Statistical Science and Data Analysis. Utrecht: VSP.
5. Kato, S., Shimizu, K., & Shieh, G. S. (2008). A Circular – Circular Regression
Model. Statistica Sinica, 18(2), 633 – 643.
6. Abuzaid, A. H., Mohamed. I. B., (2012). Boxplot for Circular Variable.
Computational Statistics, 27(3), 381 – 392.
7. Ibrahim, S. (2013). Some Outlier Problem in a Circular Regression
Model/PhD Thesis, University of Malaya.
8. Freeman, P. R. (1980). On the number of outliers in data from linear
model. Trabajos de estadistica y de investigacion operative. 31(1), 349 –
365.
9. Alkasadi, A. N., Abuzaid, A. H., Ibrahim, S., & Yusoff, M. I. (2018). Outlier
detection in multiple circulr regression model via DFBETAc statistic.
International Journal of Applied Engineering. 13(11), 9083 – 9090.
10. Nurhab, M. I., Kurnia, A. & Sumertajaya, I. M. (2014). Circular Circular –
Linear Regression Analysis of Order m in Circular Variable and
against Linear Variable (Y). IOSR Journal of Mathematics. 10(4), 49 – 54.
11. SenGupta, A. & Ugwuowo, F. I. (2006). Asymmetric circular-linear
multivariate regression models with applications to environmental data.
Environ Ecol Stat. 13:299–309 DOI 10.1007/s10651-005-0013-1.
12. Sikaroudi, A. E. & Park. C. (2016). A Mixture of Linear-Linear Regression
Models for LinearCircular Regression. Department of Industrial and
Manufacturing Engineering, Florida State University, Tallahassee FL
32310.
13. Gould A. L. (1969). A Regression Technique for Angular Response.
Biometrics, 25, 683 – 700. [14] Jaya, J. & Biswas, A. (2017). Multiple
circular – circular regression. Statistical Modelling. 17(3), 1 – 30.
14. Di, N. F. M., Satari, S. Z., & Zakaria, R. (2017). Detection of different
outlier scenarios in circular regression model using single – linkage
method. IOP Conference Series: Journal of Physics: Conference Series
890.
15. Alkasadi, N. A., Ibrahim, S., Ramli, M. F., & Yusoff, M. I. (2016). A
comparative study of outlier detection procedures in multiple circular
regression. AIP Conference Proceedings, 1775.
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