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Hashibah Hamid (Dr.) Profile Page
Hashibah Hamid (Dr.)
Contact Info
Hashibah Hamid (Dr.)
Mathematics and Statistics Department
Senior Lecturer

Academic Qualification

PhD in Statistics


Statistics subjects

Research Interest

Classification analysis
Data Reduction approaches
Robust approaches


Hamid, H. & Mahat, N. I. (2013). Using Principal Component Analysis to Extract Mixed Variables for Smoothed Location Model. Far East Journal of Mathematical Sciences, 80(1), 33-54.

Hamid, H. & Mahat, N. I. (2013). Integration of Variable Extraction and LDA for Mixed Variables Classification Problems. Modern Applied Science. (Indexed by Scopus - Accepted).

Hamid, H. & Mahat, N. I. (2012). Strategies of Handling Different Variables Reduction for LDA. Jurnal Sains dan Matematik, 4(2), 37-48.

Masnan M. J., Zakaria, A., Shakaff, A. Y., Mahat, N. I., Hamid, H., Subari, N. & Junita M. S. (2012). Principal Component Analysis – A Realization of Classification Success in Multi Sensor Data Fusion. In P. Sanguansat (Eds.), Principal Component Analysis - Engineering Applications (pp. 1-24). Croatia, Rijeka: InTech Open Access Publisher.

Hamid, H. & Mahat, N. I (2010). A New Approach for Classifying Large Number of Mixed Variables. Paper Presented at the International Conference on Computer & Applied Mathematics, 27-30 October, Paris, France.

Hamid, H. & Mahat, N. I (2010). Some Investigations on the LDA when Handling Large Number of Variables. Paper Presented at the International Conference of Applied Mathematics (AMIC) & the 6th East Asia Siam Conference (EASIAM), 22-24 June, Kuala Lumpur, Malaysia.