Page 412 - Contributed Paper Session (CPS) - Volume 2
P. 412
CPS1911 Nurkhairary A. M. et al.
References
1. Caires, S. and Wyatt, L. R. (2003). A Linear Functional Relationship Model
for Circular Data with an Application to the Assessment of Ocean Wave
Measurement. American Statistical Association and the Internal Biometric
Society Journal of Agricultural, Biological and Environmental Statistics: 8
(2),153-169.
2. Djamila, H., Ming, C. C. & Kumaresan, S. (2011). Estimation of Exterior
Vertical Daylight for the Humid Tropic of Kota Kinabalu City in East
Malaysia. Renewable Energy, 36(1), 9-15.
3. Fisher, N. I. (1993). Statistical Analysis of Circular Data, Cambridge
University Press.
4. Hussin, A. G., Fieller, N. R. J. and Stillman, E. C. (2004). Linear regression
for circular variables with application to directional data, Journal of
Applied Science & Technology (JAST): 9, 1-6
5. Jammalamadaka, S. R., & Lund, U. J. (2006). The effect of wind direction
on ozone levels: a case study. Environmental and Ecological Statistics,
13(3), 287-298.
6. Lovell, B. C., Kootsookos, P. J., & Williamson, R. C. (1991, April). The
circular nature of discrete-time frequency estimates. In Acoustics, Speech,
and Signal Processing, 1991. ICASSP-91, 1991 International Conference
on (pp. 3369-3372). IEEE.
7. Mardia, K. V. and Jupp, P. E. (2000). Directional Statistics, John Wiley &
Sons.
8. Mojiol, A. R. I. (2006). Ecological landuse planning and sustainable
management of urban and sub-urban green areas in Kota Kinabalu,
Malaysia. Cuvillier Verlag.
9. N. A. Mokhtar, Y. Z. Zubairi & A. G. Hussin. (2015). Parameter Estimation
of Simultaneous Linear Functional Relationship Model for Circular
Variables Assuming Equal Error Variances. Pakistan Journal of Statistics.
Vol. 31(2): 251-265.
401 | I S I W S C 2 0 1 9