The North Carolina Chapter of The American Statistical Association NC-ASA Lecture Series
The North Carolina Chapter of the American Statistical Association is pleased to announce the following lecture
Title: Fuzzy Regression Methodology And Its Applications
Speaker: Dr. Prajneshu,
Indian Agricultural Statistics Research Institute
Time: 4:00 pm, Thursday, June 10, 2010
Place: Petty Building, Room 224, UNCG, Greensboro, NC (Map and Directions: http://www.uncg.edu/online_map/ ).
Please join us Thursday June 10, 2010, at 3:30 pm for refreshments in the Mathematics & Statistics Lounge in Petty 116.
Abstract: The motivation for introducing "Fuzziness" in Soft Sciences is given. A brief account of "Fuzzy boom" globally in industries during last two decades is provided. Two approaches for "Fuzzy linear regression" modelling, viz. Tanaka's Linear programming, and Diamond's Fuzzy least squares are discussed. For applying these methodologies along with their modifications, software packages, like SAS, LP88, LINDO, and Nonlinear programming solver LINGO are employed. Applications to real data from the field of agriculture are described in the two situations, viz. (i) Phenomenon is "Fuzzy", and (ii) Phenomenon and response variable are both "Fuzzy". The methodology for "Fuzzy nonlinear regression models" is also outlined.
Speaker: Dr. Prajneshu has a uniformly brilliant academic record having topped in M.Sc. (Statistics) examination of University of Delhi in 1972. He did his Ph.D. in the area of "Stochastic Modelling" from University of London, U.K. as a Commonwealth Scholar. He is presently working as Principal Scientist & Head, Biometrics Division at the Indian Agricultural Statistics Research Institute, New Delhi. He joined IASRI as Professor in March, 1982. There he has worked as Head of Biometrics Division for almost fifteen years, as Head of Training for five years and also as Acting Director several times. He had earlier taught at University of Delhi and at University of Guelph, Canada. In 1990, he visited Massey University, New Zealand on a UNDP fellowship. Dr. Prajneshu's research interests include: Fuzzy regression analysis, Nonlinear time-series analysis, Nonlinear growth models, State-space modelling, and Neural networks. He has to his credit more than 100 research papers in reputed journals and has also guided 10 Ph. D. students.
