Rama T. Lingham

Associate Professor and Director

DuSable Hall 366B
phone: 815-753-6773
rama@math.niu.edu

Dr. Lingham attended Loyola College and Presidency College in Chennai, India, for his bachelor's and master's degrees in statistics respectively. He was a lecturer in the Department of Statistics at Loyola College between 1977 and 1979. He received his PhD (Statistics) from Purdue University in 1985, under the supervision of Professor Prem K. Goel.

He joined the faculty of the Department of Mathematical Sciences at Northern Illinois University in 1985 and was promoted to associate professor and tenured in 1991. Since 2005, he has been the Director of the Division of Statistics. During these few years as the director, he has engineered significant programmatic changes and achieved meaningful growth in the undergraduate student population that comprises math majors and students who take general education courses in statistics. He reinvented the model for providing statistical consulting services through the SCS of the division. He launched the BS (MATH) - actuarial science emphasis in Fall 2007 and is working on the continued development of the program.

Here are some of Prof. Lingham's recent publications:

• Intrinsic Bayes factor approach to a test about the Power Law process (wit Dr. S. Sivaganesan), J. Statist. Planning Inf., vol. 77, 195-220, 1999.
• Bayes factors for a test about the drift of the Brownian motion under non-informative priors (with Dr. S. Sivaganesan), Statist. Probab. Lett., vol. 48, 163-171, 2000.
• On the Asymptotic Stability of the Intrinsic and Fractional Bayes Factors for Testing Some Diffusion Models (with Dr. S. Sivaganesan) Ann. Inst. Statist. Math, Vol. 54, No. 3, 500-516, 2002.
• Bayesian estimation of system reliability in Brownian stress-strength models (with Dr. Sanjib Basu), Ann. Inst. Statist. Math, Vol. 55, No. 1, 7-19, 2003.

Prof. Lingham currently lives in Geneva, Illinois, with his wife, Geetha, and son, Nathan.  At his leisure, he absorbs himself in world politics or game shows.