http://sapp.uum.edu.my/kik/files/original/70b88c09af25c1c41daac2ac5a5b98fa.png 68f314efd9f839084d438463a77d1770 CV Bibliography LIST 5 LATEST OF PUBLICATION Outlier detection in multiple circular regression model using dffitc statistic. Sains malaysiana . 48(7), 1557 - 1563, (2019). Alternative methodology of location model for handling outliers and empty cells problems: winsorized smoothed location model . Journal of mechanics of continua and mathematical sciences. S(4), 90 - 108, (2019). 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, (2016). New discrimination procedure of location model for handling large categorical variables. Sains malaysiana . 46(6), 1001 - 1010, (2017). 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, (2018). LIST 5 LATEST OF RESEARCH Developing a theoretical model of the organization's green management and sustainable performance in malaysia (2019), Member, Kpt Amalgamation between maximum likelihood and smoothing estimation techniques to develop a flexible location model (2019), Leader, Kpt Novel robust memory-type and synthetic variable control charts (2016), Member, Kpt Robustifying box's m statistic for monitoring the stability of malaysian stocks market during global financial crisis (2016), Member, Universiti Handling many empty cells in location model via nonlinear pca for mixed variables classification (2015), Leader, Universiti Occupation Lecturer Location The location of the interview Quantitative Sciences UUM College of Arts and Sciences Telephone 04-9286325 Email Body The main body of the email, including all replied and forwarded text and headers hashibah@uum.edu.my Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CV - Prof. Madya Dr. Hashibah binti Hamid Creator An entity primarily responsible for making the resource Prof. Madya Dr. Hashibah binti Hamid Source A related resource from which the described resource is derived Portal UUM Date A point or period of time associated with an event in the lifecycle of the resource 2020-04-21 Language A language of the resource English Quantitative Sciences UUM College of Arts and Sciences