Dr. Harshini FernandoAssociate Professor of MathematicsDept. of Mathematics,
Statistics & Physics
Purdue University North Central 

hfernando@pnc.edu  
Office: SWRZ 3 Education Ph.D., Mathematics/Statistics, Texas Tech University, Lubbock,Texas, 2006 M.Sc., Physics, University of South Florida, Tampa, Florida, 2001 B.Sc.(Honors), Statistics, University of Colombo, Sri Lanka, 1997 Teaching Teaching Experience Purdue University North Central, Department of Mathematics Statistics and Physics, Associate Professor, 2011Present. Purdue University North Central, Department of Mathematics Statistics and Physics, Assistant Professor, 20062011. Texas Tech University, Department of Mathematics and Statistics, Graduate Instructor, 20012006 University of South Florida, Department of Physics, Teaching Assistant, 19982000 University of Colombo, Sri Lanka, Department of Computer Science and Statistics, Instructor, 1997. Holy Family Convent, Sri Lanka, Teacher, 19901992.
Resent Courses STAT113, STAT301, STAT 310, STAT311
Research Interests Statistics Education, Saddlepoint methods, Likelihood inference, Nonlinear regression models, Semiparametric models. Publications H. Fernando, S. Karunaratne, Teaching an Undergraduate Statistics Class with Technology”, Proceedings of the 24nd Annual International Conference on Technology in Collegiate Mathematics, Orlando, Florida, March, 2012. H. Fernando, “Statistical Thinking and Case Studies”, Proceedings of the 22nd Annual International Conference on Technology in Collegiate Mathematics, Chicago, Illinois, March, 2010. R. Paige, A. Trindade and H. Fernando, SaddlepointBased Bootstrap Inference for Quadratic Estimating Equations Scandinavian Journal of Statistics, Vol. 36, 98111, (2009) R. Paige and H. Fernando, Robust Inference in Conditionally Linear Nonlinear Regression Models , Scandinavian Journal of Statistics, Vol. 35, 158168, (2008). Ph.D. Dissertation: “Small Sample Inference in Nonlinear Regression Models”, Texas Tech University, (2006). Other publications and related research  see my cv Statistics and Mathematics links American Statistical Association. Institute of Mathematical Statistics. Statistical Computing Software: SAS, Minitab, SPSS, R. StatSoft, the Electronic Statistics Textbook. Rice University's Virtual Statistics Lab.


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