Dr. Hashibah binti Hamid  

Quantitative Sciences,
UUM College of Arts and Sciences,
Universiti Utara Malaysia.
My research interests are in the area of audit and corporate governance.

hashibah@uum.edu.my 04-9286325 Name in APA format : Hamid, H.

ACADEMIC QUALIFICATION

1 2014, PhD Statistics, Universiti Utara Malaysia, Universiti Utara Malaysia
2 2002, Master of Science Decision Science, Universiti Utara Malaysia, Universiti Utara Malaysia
3 2000, Bachelor Degree wiht Honours Science (Statistics), Shah Alam, Universiti Teknologi MARA
4 1998, Diploma Statistics, Shah Alam, Universiti Teknologi MARA

AWARDS & RECOGNITIONS

1 First Prize Paper Award for 2017 IEEE International Conference on Applied System Innovation, Taiwanese Institute of Knowledge Innovation, 2017, Antarabangsa
2 Anugerah Perkhidmatan Cemerlang, Universiti Utara Malaysia, Universiti Utara Malaysia (UUM), 2016, Universiti
3 Excellent Service Award Universiti Utara Malaysia, Universiti Utara Malaysia (UUM), 2006, Universiti
4 Anugerah Dekan, Universiti Teknologi MARA (UiTM), 2000, Universiti
5 Anugegah Dekan, Universiti Teknologi MARA (UiTM), 1999, Universiti

OVERVIEW

I am a member of academic staff at School of Quantitative Sciences (SQS), UUM CAS. My Diploma and Bachelor of Science with Honors in Statistics were obtained from UiTM, Shah Alam whilst my Master degree in Decision Science was awarded from UUM in 2002. After 5 years of teaching, I pursued PhD study in Statistics and completed in March 2014. My research interests are focussed on Multivariate Statistical Analysis mainly Classification & Discriminant methods, Data Reduction and also Robust approaches.

RESEARCH AREA

Statistical Modelling
Statistical Computing
Multivariate Analysis

AREA OF EXPERTISE

Classification & Discrimination Modeling
Large Variables Problem
Statistical Analysis & Inferences

ARTICLE IN ACADEMIC JOURNAL

1 Hamid, H., & Mahat, N.I. (2012). Strategies of Handling Different Variables Reduction for LDA. Jurnal Sains dan Matematik. 4(2), 37 - 48.
2 Hamid, H., & Aziz, N. (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), 5027 - 5038.
3 Hamid, H., & Zainon, F. (2016). Performance Analysis: An Integration of Principal Component Analysis and Linear Discriminant Analysis for A Very Large Number of Measured Variables . International Journal of Supply Chain Management. 11(11), 1422 - 1426.
4 Hamid, H., & Syed Yahaya, S.S. (2017). New Discrimination Procedure of Location Model for Handling Large Categorical Variables. SAINS MALAYSIANA . 46(6), 1001 - 1010.
5 Hamid, H. (2010). A New Approach for Classifying Large Number of Mixed Variables. International Journal: World Academy of Science, Engineering and Technology . 4(10), 1355 - 1360.
6 Hamid, H. (2018). New Location Model based on Automatic Trimming and Smoothing Approaches. Journal of Computational and Theoretical Nanoscience. 15(2), 493 - 499.
7 Hamid, H. (2018). Winsorized and Smoothed Estimation of the Location Model in Mixed Variables Discrimination. Applied Mathematics & Information Sciences: An International Journal. 12(1), 133 - 138.
8 Hamid, H., & Mohd. Alipiah , F. (2018). New Smoothed Location Models Integrated with PCA and Two Types of MCA for Handling Large Number of Mixed Continuous and Binary Variables. Pertanika Journal of Science & Technology. 26(1), 247 - 260.
9 Hamid, H., & Syed Yahaya, S.S. (2017). New Discrimination Procedure of Location Model for Handling Large Categorical Variables. SAINS MALAYSIANA . 46(6), 1001 - 1010.
10 Hamid, H., & Zainon, F. (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), 1422 - 1426.
11 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.

PAPERS IN CONFERENCE PROCEEDING

1 Hamid, H. (2010). A New Approach for Classifying Large Number of Mixed Variables. Proceeding of the International Conference on Computer and Applied Mathematics. 71(), 88 - 93.
2 Hamid, H., & Mahat, N.I. (2010). Some Investigations on the LDA when Handling Large Number of Variables. Proceedings of the International Conference of Applied Mathematics (AMIC) & the 6th East Asia Siam Conference (EASIAM) . (), 91 - 101.
3 Hamid, H., Zainal Abidin, N., Karim, S., & Ramli, R. (2005). AN EVALUATION OF HOTEL SELECTION FACTORS: A TECHNIQUE USING ANALYSIS HIERARCHY PROCESS . Proceedings of The 2nd International Conference on Research and Education in Mathematics (ICREM 2) . 2(), 866 - 874.
4 Hamid, H., & Khalid, K. (2004). Kajian Impirikal: Impak Faktor-faktor Ekonomi ke atas Indeks Komposit Bursa Saham Kuala Lumpur (KLCI) . Proceedings of the National Conference of the 2nd Socio-Economic & IT. 1(), 273 - 286.
5 Hamid, H., & Aziz, N. (2015). Variables Extraction on Large Binary Variables in Discriminant Analysis based on Mixed Variables Location Model.. AIP Conference Proceedings of the 2nd Innovation and Analytics Conference & Exhibition. 1691(), 1 - 6.
6 Hamid, H., & Aziz, N. (2015). Multiple correspondence analysis for handling large binary variables in smoothed location model . AIP Conference Proceedings of the 2nd Innovation and Analytics Conference & Exhibition. 1691(1), 1 - 6.
7 Hamid, H., & Aziz, N. (2016). The performance of smoothed location model with PCA+Indicator MCA and PCA+Adjusted MCA. AIP Conference Proceedings. 1782(), 1 - 7.
8 Hamid, H. (2017). New Algorithm of Location Model based on Robust Estimators and Smoothing Approach. Proceedings of the 2017 IEEE International Conference on Applied System Innovation (IEEE-ICASI 2017). (), 1091 - 1093.
9 Hamid, H. (2017). A New Framework of Smoothed Location Model with Multiple Correspondence Analysis. Proceedings of the International Conference on Computing, Mathematics and Statistics . 2(), 117 - 128.
10 Hamid, H. (2017). A Framework of Mixed Variables Classification in the Presence of Outliers: A Robust Location Model. AIP Conference Proceeding 1905, 050047 (2017). 1905(), 1 - 5.

BOOKS

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CHAPTER IN BOOKS

1
Mahat, N.I., & Hamid, H. (2012). A Realization of Classification Success in Multi Sensor Data Fusion, Principal Component Analysis - Engineering Applications (pp. 1 - 25), -:Intech
2
Hamid, H., & Mahat, N.I. (2016). Investigations on the LDA in Handling Different Sizes of Variables, Multivariate Statistics for Researchers (pp. 84 - 97), UUM:Universiti Utara Malayisia

PAST & CURRENT RESEARCHS

1 Novel Robust Memory-Type and Synthetic Variable Control Charts (2016), Member, KPT
2 Robustifying Box's M Statistic For Monitoring The Stability Of Malaysian Stocks Market During Global Financial Crisis (2016), Member, UNIVERSITI
3 Handling many Empty Cells in Location Model via Nonlinear PCA for Mixed Variables Classification (2015), Leader, UNIVERSITI
4 Investigation on the use of Multiple Correspondence Analysis for Handling Binary Variables in the Smoothed Location Model (2015), Leader, UNIVERSITI
5 A NEW LOCATION MODEL BASED ON INTEGRATION OF MULTIVARIATE ROBUST ESTIMATORS AND SMOOTHING APPROACH (2014), Leader, KPT
6 NEW STATISTIC FOR TESTING THE STABILITY OF CORRELATION STRUCTURES (2014), Member, UNIVERSITI
7 MARKOV CHAIN IN MODELING UNIVERSITI UTARA MALAYSIA UNDERGRADUATE STUDENT (2006), Member, KPT
8 PEMODELAN HUBUNGAN ANTARA PENYAKIT BAWAAN AIR DAN MAKANAN DENGAN KUALITI AIR MINUMAN DI NEGERI KEDAH (2005), Member, KPT
9 PEMILIHAN HOTEL DI KALANGAN STAF AKADEMIK UUM MENGGUNAKAN PROSES HIERARKI ANALISIS (2004), Leader, KPT

UNDERGRADUATE

NoCourse CodeCourse Name
1 SDG2021ENTREPRENEURSHIP
2 SQQS2073REGRESSION MODELLING
3 SQQS3122INDUSTRIAL STATISTICS PROJECT I
4 SQQS1013ELEMENTARY STATISTICS
5 QS1013ELEMENTARY STATISTICS
6 QQS2013APPLIED STATISTICS
7 QQS3053EXPERIMENTAL DESIGN IN BUSINESS
8 SQQS1033DATA EXPLORATORY AND GENERALISATION
9 SQQS3134INDUSTRIAL STATISTICS PROJECT II
10 SQSX4912PRACTICUM
11 SDG2011PERSONAL FINANCIAL PLANNING
12 SQQS1043PROBABILITY AND STATISTICS
13 QS2013APPLIED STATISTICS
14 QQS1023STATISTICAL DISTRIBUTION THEORY
15 SQSX3912PRACTICUM
16 QQS1013ELEMENTARY STATISTICS
17 AQ0023FUNDAMENTAL OF MATHEMATICS 2
18 EEP1032PERSONAL DEVELOPMENT AND CHARACTER BUILDING
19 QQS3063STATISTICAL QUALITY IMPROVEMENT
20 EEP2032LIVING IN THE MULTI-CULTURAL SOCIETY
21 TQ1203STATISTIC FOR TECHNOLOGY

POSTGRADUATE

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NOTES

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