Dr. Sadam Alwadi

Assistant Professor
The University of Jordan, Jordan

Highest Degree
Ph.D. in Applied Statistics from The University of Jordan, Jordan

My URL
https://livedna.org/962.20842

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Area of Interest:

Bayesian Inference
Applied Statistics
Time Series Analysis
Statistical Modeling
Data Analysis

Selected Publications

  1. Jaber, J.J., S. Al Wadi, N. Ismail and M.H. Saleh, 2017. Forecasting of volatility risk for Jordanian banking sector. Far East J. Math. Sci., 101: 1491-1507.
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  2. Awajan, A.M., M.T. Ismail and S. Al Wadi, 2017. Forecasting time series data using EMD-HW bagging. Int. J. Stat. Econ., 18: 9-21.

  3. Awajan, A.M., M.T. Ismail and S. Al Wadi, 2017. A hybrid approach EMD-MA for short-term forecasting of daily stock market time series data. J. Internet Banking Commerce, 22: 1-10.

  4. Awajan, A.M. M.T. Ismail and S. Al Wadi, 2017. A hybrid EMD-MA for forecasting stock market index. Ital. J. Pure Applied Math., 38: 1-20.

  5. Albotoush, R., S. Al Wadi, M. Rasheed and A. Abu Hilal, 2017. Forecasting of handled cargo in Aqaba 2030. Int. J. Ecol. Econ. Stat., 38: 102-113.

  6. Al Wadi, S., 2017. Improving volatility risk forecasting accuracy in industry sector. Int. J. Math. Math. Sci. 10.1155/2017/1749106.
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  7. Alwadi, S., F.M. Al- Rawashdi and I. Alshomaly, 2016. Wage determinates in Jordanian labor market comparative study (1976-2009). J. Internet Banking Commerce, 21: 1-14.
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  8. Al Wadi, S., A.M.H. Al-Khazaleh and H. Alwadi, 2016. Forecasting estimated missing time series data. Far East J. Math. Sci., 100: 1579-1593.

  9. Al-Rawashdi, F.M., S. Alwadi and M.H. Saleh, 2015. Wavelet methods in forecasting for insurance companies listed in amman stock exchange. Eur. J. Econ. Finance Admin. Sci., 82: 54-60.

  10. Al-Khazaleh, A.M.H. and S. Al Wadi, 2015. Wavelet transform asymmetric winsorized mean in detecting outlier values. Far East J. Math. Sci., 96: 340-351.

  11. Al Wadi, S., 2015. Existing outlier values in financial data via wavelet transform. Eur. Scient. J., 11: 245-254.

  12. Almomani, M.H., R. Abdul Rahman, A. Baharum, S. Alwadi and F. Ababneh, 2014. The effect of simulation parameters on the selection approach. Int. J. Open Problems Comput. Sci. Math., 7: 19-48.
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  13. Al-Rawashdi, F.M., S. Al Wadi and A.M.H. Al-Khazaleh, 2014. Wavelet methods in forecasting insurance amman stock insurance data. Mitteilungen Klosterneuburg J., 64: 280-288.

  14. Al-Obaidy, S.A.I., F. Ababneh, S. Alwadi and M. Al-Faqih, 2013. On certain conditions of multivariate power series distributions. Int. J. Open Problems Comput. Sci. Math., 6: 37-47.
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  15. Al Wadi, S., A. Hamarsheh and H. Alwadi, 2013. Maximum overlapping discrete wavelet transform in forecasting banking sector. Applied Math. Sci., 7: 3995-4002.
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  16. Ababneh, F., S. Al Wadi and M.T. Ismail, 2013. Haar and daubechies wavelet methods in modeling banking sector. Int. Math. Forum, 8: 551-566.

  17. Wadia, S.A. and M.T. Ismail, 2011. Selecting wavelet transforms model in forecasting financial time series data based on ARIMA model. Appl. Math. Sci., 5: 315-326.
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  18. Ismail, M.T., S.A. Abdul Kareem and S. Al Wadi, 2011. A study of structural breaks in Malaysian stock market. Afr. J. Bus. Manage., 5: 2418-2425.

  19. Al Wadi, S., M.T. Ismail and S.A.A. Karim, 2011. Discovering structure breaks in amman stocks market. J. Applied Sci., 11: 1273-1278.
    CrossRef  |  

  20. Wadi, S.A., M.T. Ismail and S.A.A. Karim, 2010. Volatility computational in financial time series data based on wavelet transforms. Int. J. Math. Comput., 7: 102-113.
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  21. Wadi, S.A., M.T. Ismail and A. Karim, 2010. A comparison between the daubechies wavelet transformation and the fast fourier transform in analyzing insurance time series data. Far East J. Appl. Math., 4: 53-63.
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  22. Al-Wadi, S., M.T. Ismail, M.H. Alkhahazaleh and S.A. Addul-Karim, 2010. Orthogonal wavelet transforms in forecasting volatility: An experimental results. World Applied Sci. J., 10: 262-271.
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  23. Al-Wadi, S., M.T. Ismail and S.A. Addul-Karim, 2010. A comparison between haar wavelet transform and fast fourier transform in analyzing financial time series data. Res. J. Applied Sci., 5: 352-360.
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Member since November, 2017