Welcome Dr. Hamzah Abdul hamid from Universiti Malaysia Perlis, Malaysia to be committee member!
日期：06/12/2019 点击量： 315次
Institute of Engineering Mathematics, Universiti Malaysia Perlis, Malaysia
Research Area：
Statistics (categorical data analysis / multivariate data analysis / Simulation study)
Research Experience:
With my academic background in Statistics, this area is becoming my area of interest. I will now give specific topics of my research study:
i. In all regression procedures, one of the most important parts is to check whether the model fits the data well or not. Thus, in logistic regression, it is important to study about the goodness of fit test. I am now actively doing a research to seek what goodness of fit test is suitable based on types of covariate data.
ii. Since there are some disadvantages of goodness of fit test in logistic regression, I am now in the midst of doing some research to enhance the performance of existing goodness of fit tests for binary, multinomial and ordinal logistic regression.
iii. Also, it is well known that the distribution of data might give an effect to most statistical procedures. Thus, I am interested to do deep research on how the distribution of data might affect logistic regression modeling, and how to overcome this problem.
Below are my 5 most recent publications:
1. Hamid, H. A., Bee Wah, Y., Xie, X. J., & Seng Huat, O. (2018). Investigating the power of goodness-of-fit tests for multinomial logistic regression. Communications in Statistics-Simulation and Computation, 47(4), 1039-1055.
2. Hamid, H. A., Hassan, A., Wah, Y. B., & Amin, N. A. M. (2018, October). Investigating the power of goodness-of-fit test for multinomial logistic regression using K-Means clustering technique. In AIP Conference Proceedings (Vol. 2013, No. 1, p. 020004). AIP Publishing.
3. Wah, Y. B., Ibrahim, N., Hamid, H. A., Abdul-Rahman, S., & Fong, S. (2018). Feature Selection Methods: Case of Filter and Wrapper Approaches for Maximising Classification Accuracy. Pertanika Journal of Science & Technology, 26(1).
4. Amin, N. A. M., Ismail, M. S., & Hamid, H. A. (2018, October). Modelling extreme temperature in Perlis using block maxima method. In AIP Conference Proceedings (Vol. 2013, No. 1, p. 020010). AIP Publishing.
5. Amin, N. A. M., & Hamid, H. A. (2018, June). Review paper on water quality with relation to extreme value theory. In AIP Conference Proceedings (Vol. 1974, No. 1, p. 040006). AIP Publishing.
