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Dr. Hashibah Hamid


Lecturer

School of Quantitative Sciences

Universiti Utara Malaysia

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Latest Additions

  1. Hamid, Hashibah and Zainon, Fatinah and Tan, Pei Yong (2016) Performance analysis: an integration of principal component analysis and linear discriminant analysis for a very large number of measured variables. Research Journal of Applied Sciences, 11 (11). pp. 1422-1426. ISSN 1815-932X
  2. Hamid, Hashibah and Mahat, Nor Idayu (2013) Using principal component analysis to extract mixed variables for smoothed location model. Far East Journal of Mathematical Sciences (FJMS), 80 (1). pp. 33-54. ISSN 0972-0871
  3. Hamid, Hashibah and Aziz, Nazrina and Ngu, Penny Ai Huong (2016) Variable extractions using principal component analysis and multiple correspondence analysis for large number of mixed variables classification problems. Global Journal of Pure and Applied Mathematics, 12 (6). pp. 5027-5038. ISSN 0973-1768
  4. Ngu, Penny Ai Huong and Hamid, Hashibah and Aziz, Nazrina (2015) Multiple correspondence analysis for handling large binary variables in smoothed location model. AIP Conference Proceedings, 1691 (1). 050018. ISSN 0094-243X
  5. Hamid, Hashibah (2016) A new framework of smoothed location model with multiple correspondence analysis. In: International Conference on Computing, Mathematics and Statistics (iCMS 2015), November 2015, Langkawi.
  6. Ngu, Penny Ai Huong and Hamid, Hashibah and Aziz, Nazrina (2016) The performance of smoothed location model with PCA+Indicator MCA and PCA+Adjusted MCA. AIP Conference Proceedings, 1782. 050008. ISSN 0094-243X
  7. Long, Mei Mei and Hamid, Hashibah and Aziz, Nazrina (2015) Variables extraction on large binary variables in discriminant analysis based on mixed variables location model. AIP Conference Proceedings, 1691. 050014. ISSN 0094-243X