Dr. Harshini Fernando
Associate Professor of Mathematics
Dept. of Mathematics,
Statistics & Physics
Purdue University North Central
Office: SWRZ 3
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
Purdue University North Central, Department of Mathematics Statistics and Physics, Associate Professor, 2011-Present.
Purdue University North Central, Department of Mathematics Statistics and Physics, Assistant Professor, 2006-2011.
Texas Tech University, Department of Mathematics and Statistics, Graduate Instructor, 2001-2006
University of South Florida, Department of Physics, Teaching Assistant, 1998-2000
University of Colombo, Sri Lanka, Department of Computer Science and Statistics, Instructor, 1997.
Holy Family Convent, Sri Lanka, Teacher, 1990-1992.
Statistics Education, Saddlepoint methods, Likelihood inference, Nonlinear regression models, Semiparametric models.
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, Saddlepoint-Based Bootstrap Inference for Quadratic Estimating Equations Scandinavian Journal of Statistics, Vol. 36, 98-111, (2009)
R. Paige and H. Fernando, Robust Inference in Conditionally Linear Nonlinear Regression Models , Scandinavian Journal of Statistics, Vol. 35, 158-168, (2008).
Ph.D. Dissertation: “Small Sample Inference in Nonlinear Regression Models”, Texas Tech University, (2006).
Statistics and Mathematics links
StatSoft, the Electronic Statistics Textbook.
Rice University's Virtual Statistics Lab.
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