PROFILE
UPM's Staff Profile
DR. LIM FONG PENG
FACULTY OF SCIENCE
fongpeng@upm.edu.my
PROFESSIONAL
NAME :
(Dr.) LIM FONG PENG
POST :
ENTITY :
FACULTY OF SCIENCE
FIELD OF SUPERVISION
APPLIED AND COMPUTATIONAL STATISTICS / STATISTICS
EDUCATIONAL BACKGROUND
2016
Doctor of Philosophy (Mathematics & Science Philosophy)
2010
Master of Science (Mathematics Statistics)
2007
Bachelor of Science With Education (Hons.) - Statistics
WORKING EXPERIENCE
2016
Universiti Putra Malaysia (Senior Lecturer )
2010
Universiti Putra Malaysia (Tutor)
2009
Infrastructure University Kuala Lumpur (Assistant Lecturer)
TEACHING
2018
Statistics for Applied Science
2018
Special Topics on the Usage of Statistical Packages
2017
Statistics for Applied Science
2017
Statistics for Applied Science
2017
Special Topics on the Usage of Statistical Packages
2017
Computational Statistics
2016
Probability and Statistics I
2016
Statistics for Applied Science
2015
Statistics for Applied Science
2011
Statistics for Applied Science
2011
Probability and Statistics I
RESEARCH AREA
2012
Survival Analysis
2012
Experimental Design
2008
Robust Statistics
RESEARCH PROJECT
2017
Identifying Outliers in 2×2 Crossover Design Based on Residuals (Project Leader)
2012
A Bayesian Approach to Assess the Combined Effect of the High Risk Factors on Breast Cancer (Project member)
PUBLICATION
2024
Exponentiated gamma Burr-type X distribution: model, theory, and applications
2023
Identifying Outlier Subjects In Bioavailability Trials Using Generalized Studentized Residuals
2022
A New Exponentiated Beta Burr Type X Distribution: Model, Theory, And Applications
2022
Exponentiated Weibull Burr Type X Distribution Properties and Its Applications
2019
Outlier Detection in 2 × 2 Crossover Design using Bayesian Framework
2018
Outlier detection in 2×2 crossover design using generalized studentized residuals
2017
Outlier Detection In 2×2 Crossover Design Using Bayesian Framework
2016
Comparison of Outlier Detection Methods in Standard 2×2 Crossover Design