Sunil Dhar
The research focus of Sunil Dhar has been on model building and inference. The inverse sampling scheme’s multivariate distribution was generalized to the new Loglinear Modeling, Soumi and Dhar (2008) and (Dhar; 1995) under the generalized inverse sampling scheme. This new multivariate distribution helps generalize other “orderk” distributions (Dhar 1996). His ongoing research involves proving existence, computing and developing robust and efficient minimum distance estimators such as L2distance type, under the following models: linear, AR [k], the additive effects outliers, and the twosample location model, Dhar and Chen (2005). 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 functional has been developed by him. He has acquired statistical consulting experience and applies it to the health sciences. Constructing new bootstrapbased test for establishing noninferiority in clinical trials and he has developed methods training clinical staff in pharmaceutical industry to do biostatistical research, Dhar and Kianifard (2006).
 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
 History of Courses Taught
 Math 105, Elementary Probability and Statistics
 Math 225, Survey of Probability and Statistics
 Math 244, Introduction to Probability
 Math 279, Statistics and Probability for Engineers
 Math 333, Introduction to Statistics and Probability
 Math 446, Time Series analysis
 Math 646, Time Series analysis
 Math 661, Applied Statistics
 Math 662, Probability Distributions
 Math 663, Introduction to Biostatistics
 Math 664, Methods for Statistical Consulting
 Math 691, Stochastic Processes with Applications
 Math 762, Statistical Inference
 Modeling
 Multivariate Count
 Pharmaceutical Statistical
 Reliability
 Survival
 Inference

 Non parametric
 Robust statistics
Ongoing research in count data modeling, lifetime reliability models involve deriving new multivariate models with demonstrated applications. Pharmaceutical statistical analysis under clinical trials is among his current research.
 "Studying the Optimal Scheduling for Controlling Prostate Cancer under Intermittent Androgen Suppression" (with Chaudhry, Hans R.; Bukiet, Bruce G.; Ji, Zhiming; Gao, Nan; and Findley, Thomas W. ). Harvard University Biostatistics Working Paper Series. Working Paper 214. January 2017. https://biostats.bepress.com/harvardbiostat/paper214/
 Loglinear Modeling under Generalized Inverse Sampling Scheme: Communications in Statistics  Theory and Methods, Volume 37(8), 2008, pp. 12371244 (with Ph.D. student Soumi Lahiri)
 "Computation of Certain Minimum Distance Estimators in AR[K] Model," Journal of American Statistical Association, 88(1/21), 1993, pp 278283.
 "Minimum Distance Estimation in an Additive Effects Outliers Model," The Annals of Statistics, 19(1), 1991, pp 205228.
 More Publications