PUBLICATIONS

Kamisan, N. A. B., Lee, M. H., Hassan, S. F., Norrulashikin, S. M., Nor, M. E., & Rahman, N. H. A. (2021). Forecasting Wind Speed Data by Using a Combination of ARIMA Model with Single Exponential Smoothing. Mathematical Modelling of Engineering Problems, 8(2), 207–212. https://doi.org/10.18280/mmep.080206

NOR, S. R. M., YUSOF, F., & NORRULASHIKIN, S. M. (2021). Coherent mortality model in a state-space approach. Sains Malaysiana, 50(4), 1101–1111. https://doi.org/10.17576/jsm-2021-5004-20

Norrulashikin, M. A., Yusof, F., Hanafiah, N. H. M., & Norrulashikin, S. M. (2021). Modelling monthly influenza cases in Malaysia. PLoS ONE, 16(7 July), 1–12. https://doi.org/10.1371/journal.pone.0254137

Norrulashikin, S. M., Yusof, F., Mohd Nor, S. R., & Kamisan, N. A. B. (2021). Best Fitted Distribution For Meteorological Data In Kuala Krai. Journal of Statistical Modelling and Analytics, 3(1), 16–25. https://doi.org/10.22452/josma.vol3no1.2

Tayib, S. A. M., Nor, S. R. M., & Norrulashikin, S. M. (2021). Forecasting on the crude palm oil production in Malaysia using SARIMA Model. Journal of Physics: Conference Series, 1988(1), 012106. https://doi.org/10.1088/1742-6596/1988/1/012106

Hussin, N. H., Yusof, F., Jamaludin, ‘Aaishah Radziah, & Norrulashikin, S. M. (2021). Forecasting Wind Speed in Peninsular Malaysia: An Application of ARIMA and ARIMA-GARCH Models. Pertanika Journal of Science and Technology, 29(1), 31–58. https://doi.org/10.47836/pjst.29.1.02

Alhassan, B. G., Yusof, F. B., Norrulashikin, S. M., & Kane, I. L. (2020). Dynamics of Heteroscedasticity Modelling and Forecasting of Tax Revenue in a Developing Economy: A Review. International Journal of Management and Humanities, 5(3), 34–41. https://doi.org/10.35940/ijmh.c1161.115320

Thae, T. C., & Norrulashikin, S. M. (2020). Time Series Analysis on Forecasting Stock With Missing Value Approach.

Norrulashikin, S. M., Yusof, F., & Kane, I. L. (2018). Meteorological Multivariable Approximation and Prediction with Classical VAR-DCC Approach. Sains Malaysiana, 47(2), 409–417. http://doi.org/http://dx.doi.org/10.17576/jsm-2018-4702-24                                 [IF: 0.470]

Norrulashikin, S. M., Yusof, F., & Kane, I. L. (2018). Performance Evaluation of a New Hybrid Multivariate Meteorological Model Analysis : A Simulation Study. MATEMATIKA, 34(1), 73–85. http://doi.org/https://doi.org/10.11113/matematika.v34.n1.1026

Siti Mariam N., Fadhilah Y., Zulkifli Y., Ibrahim L. K., Norizzati S., and Aaishah Radziah J., “Kelantan Daily Rainfall Data Sets: Persistence in Nature” in Conference on Flood Catastrophes in a Changing Environment 2016 (CFCCE’16), 15-16 November 2016, Kuala Lumpur.  [BOOK CHAPTER]

Jamaludin, A. R., Yusof, F., Kane, I. L., & Norrulasikin, S. M. (2016). A comparative study between conventional ARMA and Fourier ARMA in modeling and forecasting wind speed data. In 23rd National Symposium on Mathematical Sciences (Vol. 1750). AIP Publishing. http://doi.org/10.1063/1.4954627

Norrulashikin, S. M., Yusof, F., & Kane, I. L. (2015). An Investigation towards the Suitability of Vector Autoregressive Approach on Modeling Meteorological Data. Modern Applied Science, 9(11), 89–100. http://doi.org/10.5539/mas.v9n11p89

Norrulashikin, S. M., Yusof, F., & Kane, I. L. (2016). Instantaneous causality approach to meteorological variables bond. In 23rd National Symposium on Mathematical Sciences (Vol. 1750). AIP Publishing. http://doi.org/10.1063/1.4954615