Undergraduate Advisor,
Associate Professor

Education

PhD, Statistics, Michigan State University
MS, Statistics & Probability, Michigan State University
MSc, Mathematics (First Class), University of Poona
BSc, Mathematics (First Class), University of Poona

Areas of Research

The research focus of Sunil Dhar has been on model building and inference. His ongoing research involves proving existence, computing and developing robust and efficient minimum distance estimators such as L2-distance type, under the following models: linear, AR [k], the additive effects outliers, and the two-sample location model. He also developed functional least squares estimators under the additive effects outliers model.  An optimization technique for the general class of sums of absolute multivariate linear functionals has been developed by him.  He extended the negative multinomial distribution; this new model has many applications. His ongoing research in multivariate lifetime reliability models involve deriving new multivariate geometric and the generalized discrete analog of Freund's models, with demonstrated applications.  Other discrete models developed by him are in the area of models of order k. He has acquired statistical consulting experience.

Selected Publications

"Extension of a Negative Multinomial Model," Communications in Statistics: Theory and Methods, Vol. 24, No. 1, 1995, pp 39-57.

"Computation of Certain Minimum Distance Estimators in AR[K] Model," Journal of American Statistical Association, 88(1/21), 1993, pp278-283.

"Minimum Distance Estimation in an Additive Effects Outliers Model," The Annals of Statistics, 19(1), 1991, pp 205-228.