Journal Papers

ISI Journal :
1. Ani Shabri, Daud Z and Atiqah Z. Regional Analysis of Annual Rainfall using TL-Moments method. Theor Appl Climatol. 104:561-570. (2011) IF (1.776).

2. Ismail S, Ani Shabri, Samsudian S. A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting. Expert Systems with Applications. 38(8):10574-10578. (2011) IF(1.96).

3. Samsudian R, Ani Shabri and Puteh S. River flow time series using least squares support vector machines. Hydrol. Earth Syst. Sci., 15, 1835-1852, (2011) IF(2.46)

4. Samsudin R, Ani Shabri and Puteh S. A Hybrid GMDH and Least Squares Support Vector Machines in Time Series Forecasting. Neural Network World. 3(11), 251-268 (2011). IF(0.511).

5. Ahmad U.A., Ani Shabri and Zakaria Z. Trimmed L-moments (1,0) for the generalized Pareto distribution. Hydrological Sciences Journal (2011). 56(6):1053-1060. IF(1.446).

6. Ani Shabri and Suhartono. Streamflow forecasting using least squares support vector machines. Hydrological Sciences Journal (2012). 57(7):1275-1293 IF(1.446)

7. Zakaria Z.A. and Ani Shabri. Estimation of the generalized logistic distribution of extreme events using partial L-moments. Hydrological Sciences Journal (2012)57(3):423-432.(IF1.446)

8. Ismail S, Ani Shabri and Samsudian R. A hybrid model of self organizing maps and least square support vector machine for river flow forecasting. Hydol. Earth Syst. Sci., (2012).16:4417-4433.(IF. 3.148).

9. Zakaria Z.A. and Ani Shabri. Regional Frequency Analysis of Extreme Rainfalls in the West Coast of Peninsular Malaysia using Partial L-Moments. Water Resources Management (2012):4417-4433. (IF 2.054).

10. Ahmad U.A., Ani Shabri and Zakaria Z. An Analysis of Annual Maximum Stream flows in Terengganu, Malaysia using TL-moments Approach. Theor Appl Climatol. (2013) page 649-663 IF(1.942).

11. Zakaria Z.A. and Ani Shabri. Regional frequency analysis of extreme rainfalls using partial L moments method. Theoretical and Applied Climatology (2013). Pages 83-94.(IF1.942)

12. Ayob Katimon, Shamsuddin Shahid, Ahmad Kahiri and Ani Shabri. Hyrological behaviour of a drained agritural peat catchment in the tropics. 2: Time series transfer function modeling approach. Hydrological Science Journal. 1310-1325. (IF: 1.446).

13. Ani Shabri and Jemain A.A..Regional Flood Frequency Analysis for Southwest Peninsular Malaysia by LQ-Moments. Journal of Flood Risk Management (2014). (IF 1.5).

14. Ani Shabri and Samusidin R. Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model, Mathematical Problems in Engineering, page 1:10, 2014. (IF: 1.082).

15. Ani Shabri and Samsudin R. Crude Oil Price Forecasting Based on Hybridizing Wavelet Multiple Linear Regression Model, Particle Swarm Optimization Techniques, and Principal Component Analysis. The Scientific World Journal. page 1-8, 2014. (IF:1.73)

16. Ani Shabri and Samsudin R. Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models, Mathematical Problems in Engineering, Accepted (2014). (IF: 1.082).

17. Mat Jan, N. A. & Ani Shabri, Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach. Theoretical and Applied Climatology (2017). 127(1-2), 213–227. IF (2.64) Q2

 

SCOPUS Journal :

1. Ani, S. & Jemain, A.A. 2006. LQ-Moment: Application to the Extreme Value Type I Distribution. Journal of Applied Sciences 6(5):993-997.

2. Ani, S. & Jemain, A.A. 2006. LQ-Moment: Application to the Log-Normal Distribution. Journal of Mathematics and Statistics 2(3):414-421.

3. Ani, S. & Jemain, A.A. 2006. Application of Multi Criteria Method to Identify the Best-fit Statistical Distribution. Journal of Applied Sciences 6(4):926-932.

4. Ani, S. & Jemain, A.A. 2007. LQ-Moments For Statistical Analysis Of Extreme Events. Journal of Modern Applied Statistical Methods, 6(1): 228-238.

5. Ani, S. & Jemain, A.A. 2007. LQ-Moment: Application to the Generalized Extreme Value. Journal of Applied Sciences 7(1):115-120.

6. Z. Ismail, A. Yahya and A. Shabri. Forecasting Gold Prices Using Multiple Linear Regression Method. American Journal of Applied Sciences 6(8): 1509-1514, 2009.

7. Ani, S. & Jemain, A.A. 2009. Estimation of the Extreme Value Type I by the Method of LQ-Moment . Journal of Mathematics and Statistics 5(4):298-304.

8. A. Shabri, R. Samsudin & Z. Ismail. 2009. Forecasting of the Rice Yields Time Series Forecasting using Artificial Neural Network and Statistical Model. Journal of Applied Sciences 9(1):1-6.

9. R. Samsudin, P. Saad, and A. Shabri. A hybrid least squares support vector machines and GMDH approach for river flow forecasting. Hydrol. Earth Syst. Sci. Discuss., 7, 3691–3731, 2010.

10. S. Ismail, R. Samsudin and A. Shabri. River Flow Forecasting: a Hybrid Model of Self Organizing Maps and Least Square Support Vector Machine. Hydrol. Earth Syst. Sci. Discuss., 7, 8179–8212, 2010.

11. R. Samsudin, Ani Shabri and P. Saad. A Comparison of Time Series Forecasting using Support Vector Machine and Artificial Neural Network Model. Journal of Applied Sciences (2010). 10(11): 950-958.

12. Ummi Nadiah Ahmad, Ani Shabri, Zahrahtul Amani Zakaria. Flood Frequency Analysis of Annual Maximum Stream Flows using L-Moments and TL-Moments Approach. Applied Mathematical Sciences, Vol. 5, 2011, no. 5, 243 – 253

13. Ani Shabri, Noratiqah (2009). Frequency Analysis of maximum Daily Rainfalls via L-Moment Approach. Sains Malaysiana 38(2): 149-158.

14. Ani. S. & Jemain. A.A. (2010). LQ-moments: Parameter Estimation for Kappa Distribution. Sains Malaysiana 39(5): 845–850.

15. Ani. S. & Jemain. A.A. (2010).Penggunaan Gambar Rajah Nisbah LQ-Momen dalam Pemilihan Taburan Terbaik. Sains Malaysiana 39(4): 647-653.

16. Zakaria Z.A. & Ani Shabri. Streamow Forecasting at Ungaged SitesUsing Support Vector Machines. Applied Mathematical Sciences, Vol. 6, 2012, no. 60, 3003 – 3014

17. Ani Shabri and Jemain AA. Fitting the Generalized Logistic Distribution by LQ-Moment. Applied Mathematical Sciences, Vol. 5(54) 2663-2676 (2011).

18. Nadira M.I. and Ani Shabri. A hybrid group method of data handling with discrete wavelet transform for GDP forecasting. AIP Conference Proceedings. International Conference On Mathematical Sciences And Statistics 2013 (ICMSS2013): Kuala Lumpur.

19. Rana A. & Ani Shabri. Daily Crude Oil Price Forecasting Model Using Arima, Generalized Autoregressive Conditional Heteroscedastic And Support Vector Machines. American Journal of Applied Sciences 11 (3): 425-432, 2014.

20. Basri B., Ani Shabri & Samsudian R. Streamflow Estimation at Ungauged Site Using Wavelet Group Method of Data Handling in Peninsular Malaysia. Int. Journal of Math. Analysis, Vol. 8, 2014, no. 11, 513 – 524.

21. Sarah A. & Ani Shabri. Hybrid Empirical Mode Decomposition-ARIMA for Forecasting Price of Rice. Applied Mathematical Sciences, Vol. 8, 2014, no. 63, 3133 – 3143.

22. Ani Shabri & Samsuidn R. A Hybrid GMDH and Box-Jenkins Models in Time Series Forecasting. Applied Mathematical Sciences, Vol. 8, 2014, no. 62, 3051-3062.

23. Ani Shabri. A Hybrid Wavelet Analysis and Adaptive Neuro-Fuzzy Inference System for Drought Forecasting. Applied Mathematical Sciences, Vol. 8, 2014, no. 139, 6909 – 6918.
24. Ani Shabri & Samsudin R. A New Approach for Water Demand Forecasting Based on Empirical Mode Decomosition. In 8th Malaysian Software Engineering Conference (MySEC 2014), IEEE, 284-288.

25. Pandhiani, S. M. & Shabri, A. A comparitive analysis and time series forecasting of monthly stream flow data using hybrid model. Jurnal Teknologi. (2015) 76(8), 13, 67-74.

26. Pandhiani, S. M. & Ani Shabri A hybrid model for monthly time series forecasting Applied Mathematics and Information Sciences. 9(6)(2015), 2943-2953.

27. Shabri A. A hybrid model for stream flow forecasting using wavelet and least squares support vector machines. Jurnal Teknologi. (2015), 73(1) (2015), 89-96.

28. Ani Shabri. & Samsudin. Empirical mode decomposition-least squares support vector machine based for water demand forecasting. International Journal of Advances in Soft Computing and its Applications. (2015), 7( 2), p. 38-53.

29. Ani Shabri. Fishery landing forecasting using EMD-based least square support vector machine models. nternational Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014. American Institute of Physics Inc., (2015) Vol. 1660, 070122.

30. Badyalina, B. & Ani Shabri Flood estimation at ungauged sites using group method of data handling in Peninsular Malaysia. Jurnal Teknologi. (2015) 76( 1), 373-380.

31. Badyalina, B. & Ani Shabri Flood frequency analysis at ungauged site using group method of data handling and canonical correlation analysis. Modern Applied Science.(2015) 9( 6), 48-55.

32. Ani Shabri. Least square support vector machines as an alternative method in seasonal time series forecasting. Applied Mathematical Sciences. (2015) 9(124), 6207-6216.

33. Zakaria, Z. A., Ani Shabri & Mamat, M. Parameter estimation based on partial l-Moments method for censored samples. Far East Journal of Mathematical Sciences. (2015),96( 6), 671-684.

34. Muhammed Pandhiani, Ani Shabri. Time series forecasting by using hybrid models for monthly streamflow data. Applied Mathematical Sciences. (2015),9( 57-60), 2809-2829.

35. Ani Shabri. A modified EMD-ARIMA based on clustering analysis for fishery landing forecasting. Applied Mathematical Sciences. (2016),10( 33-36), 1719-1729.

36. Rashid, N. I. A., Samsudin, R. & Ani Shabri, Exchange rate forecasting using modified empirical mode decomposition and least squares support vector machine. International Journal of Advances in Soft Computing and its Applications. (2016), 8(3), 31-47.

37. Aamir, M. Ani Shabri. Modelling and forecasting monthly crude oil price of Pakistan: A comparative study of ARIMA, GARCH and ARIMA Kalman model 21 Jun 2016 Advances in Industrial and Applied Mathematics: Proceedings of 23rd Malaysian National Symposium of Mathematical Sciences, SKSM 2015. American Institute of Physics Inc., Vol. 1750, 060015.

38. Badyalina, B., Ani Shabri. & Jan, N. A. M. Prediction at ungauged site with topological kriging and modified group method of data handling. Journal of Environmental Hydrology. (2016), 24, 6.

39. Jan, N. A. M., Ani Shabri & Badyalina. Selecting probability distribution for regions of Peninsular Malaysia streamflow. (2016) Advances in Industrial and Applied Mathematics: Proceedings of 23rd Malaysian National Symposium of Mathematical Sciences, SKSM 2015. American Institute of Physics Inc., Vol. 1750, 060014.

40. Jan, N. A. M., Ani Shabri, Ismail, S., Badyalina, B., Abadan, S. S. & Yusof, N. Three-parameter lognormal distribution: Parametric estimation using l-moment and tl-moment approach. Jurnal Teknologi. (2016)78, 6-11, p. 85-96 12

41. Rashid, N. I. A., Ani Shabri & Samsudin. Comparison between MEMD-LSSVM AND MEMD-ARIMA in forecasting exchange rate. Journal of Theoretical and Applied Information Technology.(2017) 95( 2), 328-339.

42. Zakaria, Z. A., Ani Shabri & Awang, M. K. Regional frequency analysis of streamflow based on partial L-moments approach. Far East Journal of Mathematical Sciences. (2017), 101( 4), 689-702.

43. Yahya, N. A., Samsudin, R. & Ani Shabri. Tourism forecasting using hybrid modified empirical mode decomposition and neural network. International Journal of Advances in Soft Computing and its Applications. 9 (2017), 1, 14-31.

44. Mohd Fahmi Abdul Hamid and Ani Shabri. Palm oil price forecasting model: An autoregressive distributed lag (ARDL) approach. AIP Conference Proceedings 1842, 030026 (2017); doi: 10.1063/1.4982864.

45. Mohd Helmie Hamid and Ani Shabri. Wavelet regression model in forecasting crude oil price. AIP Conference Proceedings 1842, 030019 (2017); doi: 10.1063/1.4982857.

46. Shuhaida Ismail and Ani Shabri. Combination model of empirical mode decomposition and SVM for river flow forecasting. AIP Conference Proceedings 1830, 080005 (2017); doi: 10.1063/1.4980989.

47. Ismail S, Ani Shabri. DocumentTime series forecasting using least square support vector machine for canadian lynx data. Jurnal Teknologi. (2014), 70(5), 11-15.

 

NON INDEXED Journal :
1. Ruhaidah Samsudin, Puteh Saad & Ani Shabri, 2008. A Comparison of Neural Network, Arima Model and Multiple Regression. International Journal Of Soft Computing Applications. 113-127.

2. R. Samsudin, Puteh S. and Ani.S. Comparison of Forecasting Using Modified GMDH and Genetic Algorithm. International Journal of Computer Information Systems and Industrial Management Applications. Vo. 1(2009)-170-176.

3. Ruhaidah Samsudin, Puteh Saad & Ani Shabri. Hybridizing Gmdh And Least Squares Svm Support Vector Machine For Forecasting Tourism Demand. Ijrras 3 (3) (2010):274-279.

4. Ummi Nadiah Ahmad, Ani Shabri, Zahrahtul Amani Zakaria. TL-moments and L-moments Estimation of the Generalized Logistic Distribution. Journal of Mathematics Research. Vol 3, No 1 (2011): 97-106.

5. Zahrahtul Amani Zakaria, Ani Shabri, Ummi Nadiah Ahmad. Estimation of Generalized Pareto Distribution from Censored Flood Samples using Partial L-moments. Journal of Mathematics Research. Vol 3, No 1 (2011). 112-120.

6. Siraj M.P and Ani Shabri, Time Series Forecasting Using Wavelet-Least Squares Support Vector Machines and Wavelet Regression Models for Monthly Stream Flow Data. Physics and Mathematics, 2013, 183-194.

7. Ani, S. 2000. Penggunaan Analisis Frekuensi Banjir. Matematika.16(1): 47-60.

8. Aziz, A.A.G and Ani, S. 2000. Statistical Flood Frequency Analysis Using Short Term
Data. Matematika, 16(1): 11-30.

9. Ani, S. 2001. The Best Plotting Formula for the Pearson Type III Distribution. Journal Teknologi.

10. Ani, S. 2001. Comparison of Time Series Forecasting Methods Using Neural Networks and Box-Jenkins Model. Matematika. 17(1): 25-32.

11. Ani, S. 2002. Nonparametric Kernel Estiamtion of Annual Maximum Stream Flow Quantiles. Matematika. 18(2): 99-107.

12. Ani, S. 2002. Comparisons of the LH-Moments and the L-Moments. Matematika. 18(1): 33-43.

13. Ani, S. 2002. Comparative Study of Flood Estimation Using Nonparametric and Parmateric Models. “Proceedings of National Symposium on Mathematics,UTM”.

14. Ani, S. 2003. Penggunaan Taburan Pareto Umum Dalam Menganalisis Nilai Ekstrim Banjir Menggunakan Siri Aliran Puncak Melebihi Paras. Jurnal Teknologi. 39: 43-52.

15. Azme, K., Zuhaimy, I. and Ani, S. 2003. Permodelan Harga Minyak Sayuran Menggunakan Analisis Regresi Linear Berganda. Matematika, 19(1): 59-70.

16. Azme Khamis & Ani Shabri. Analisis Siri Masa Untuk Peramalan Pengeluaran Minyak Kelapa Sawit Mentah Malaysia. Technical Report. PPS, KUiTTHO. LT/M Bil. 1/2006 .

17. Ani, S. & Jemain, A.A. Pengujian Kesesuaian Taburan Normal Berdasarkan Statistik Cramer-von Mises. Sains Malaysiana 36(2)(2007): 201-206.

18. Ani, S. & Jemain (2007): Analisis Frekuesni banjir Serantau di Semenanjung Malaysia Berdasarkan Pendekatan LQ-Momen. Jurnal Teknologi.47:45-58.

19. Ani, S. & Jemain (2007): Kaedah Penganggar Parameter Alternatif bagi Taburan Nilai Ekstrim Teritlak. Matematika.23(2): 157-166.

20. Ani, S. & Jemain (2008): Pengujian Statistik Anderson Darling bagi Taburan Nilai Ekstrim Teritlak. Matematika.24(1): 85-97.

21. Ani, (2008): Penjelmaan Box-Cox dan Penggunaannya dalam Analisis Frekuesni Banjir. Matematika.24(2):259-268.

22. Samsudin, Ruhaidah and Saad, Puteh and Shabri, Ani (2008). The GMDH model and its application to forecating of rice yields. Jurnal Teknologi Maklumat, 20 (4). pp. 113-123. ISSN 0128-3790.

23. Ani, S. & Jemain (2009): L-Momen Peringkat Tinggi: Penggunaan Bagi Memodelkan Taburan Logistik Teritlak. Jurnal Kejuruteraan. 21: 43-52.

24. Ani. S. & Jemain. A.A. (2009). Pengujian Kesahihan Pemadanan untuk Taburan Nilai Ekstrim I. Matematika. 25(1):53-66.

25. Ani Shabri and Noratiqah Mohd Ariff (2011). On Selection of Probability Distributions of Annual Maximum Daily Rainfalls Using TL-Moments. Matematika. 26(2):137-151.

26. Basri B. and Ani S. (2013). Streamflow Forecasting At Ungauged Sites Using Multiple Linear Regression. Matematika . Specail Issue: 1-10.

27. Ismail S. and Ani Shabri (2014). Empirical Mode Decomposition for River Flow Forecasting. Australian Journal of Basic and Applied Sciences. 8(11), 8-15.

28. Siraj M.P. & Ani Shabri (2013). Time Series Forecasting Using Wavelet-Least Squares Support Vector Machines and Wavelet Regression Models for Monthly Stream Flow Data. Open Journal of Statistics, 2013, 3, 183-194.

29. Ani Shabri. A Hybrid of EEMD and LSSVM-PSO model for Tourist Demand Forecasting. Indian Journal of Science & Technology. (2016) 9(36), 1-6.

Skip to toolbar