Dr. Saieed F. Ateya

Assistant Professor
Taif University, Saudi Arabia


Highest Degree
Ph.D. in Mathematics from Taif University, Saudi Arabia

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Area of Interest:

Mathematics
Statistics
Applied Sciences
Statistical Education
Mathematical Sciences

Selected Publications

  1. Ateya, S.F., M.M. Rizk and M.E. El-Adll, 2011. Estimation under finite mixture of truncated type I generalized logistic components model based on censored data via EM algorithm. Int. Math. Forum, 6: 3323-3341.
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  2. Ateya, S.F., 2011. Prediction under generalized exponential distribution using MCMC algorithm. Int. Math. Forum, 6: 3111-3119.
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  3. Ateya, S.F., 2011. Inferences under truncated generalized Cauchy distribution. Pioneer J. Theor. Applied Stat., 2: 9-31.
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  4. Ateya, S.F. and A.A. Abd El-Baset, 2011. Inferences based on generalized order statistics under truncated type-I generalized logistic distribution. Statistics, 45: 389-402.
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  5. Ateya, S.F., 2010. Bayesian prediction intervals under bivariate truncated generalized Cauchy distribution. J. Stat. Res. Iran, 7: 101-121.

  6. Ateya, S.F. and E.K. Al-Hussaini, 2010. On truncated generalized Cauchy distribution. InterStat, 1: 1-13.
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  7. Al-Hussaini, E.K. and S.F. Ateya, 2010. Bayesian prediction under a class of multivariate distributions. InterStat, 7: 1-14.
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  8. Ateya, S.F. and E.K. Al-Hussaini, 2007. Estimations under trunca-ted generalized Cauchy life-time model. Algorithms Probab. Q. Inform., 1: 181-193.

  9. Al-Hussaini, E.K. and S.F. Ateya, 2006. A class of multivariate distributions and new copulas. J. Egypt. Math. Soc., 14: 45-54.
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  10. Al-Hussaini, E.K. and S.F. Ateya, 2005. Parametric estimation under a class of multivariate distributions. Stat. Pap., 46: 321-338.
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  11. Al-Hussaini, E.K. and S.F. Ateya, 2005. Bayes estimations under a mixture of truncated type I generalized logistic components model. J. Stat. Theor. Appl., 4: 183-208.

  12. Al-Hussaini, E.K. and S.F. Ateya, 2003. Maximum likelihood estimations under a mixture of truncated type I generalized logistic components model. J. Stat. Theor. Appl., 2: 47-60.