Sunil K. Dhar
|Hours:||Fall 2018: M: 1:30 pm to 2:30 pm and W: 1:30 pm to 2:30 pm and 4 pm to 5 pm.|
|Dept:||Department of Mathematical Sciences|
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 Log-linear Modeling, Soumi and Dhar (2008) and (Dhar; 1995) under the generalized inverse sampling scheme. This new multivariate distribution helps generalize other “order-k” distributions (Dhar 1996). 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, 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 bootstrap-based 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
- Multivariate Count
- Pharmaceutical Statistical
- 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/
- Log-linear Modeling under Generalized Inverse Sampling Scheme: Communications in Statistics - Theory and Methods, Volume 37(8), 2008, pp. 1237-1244 (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 278-283.
- "Minimum Distance Estimation in an Additive Effects Outliers Model," The Annals of Statistics, 19(1), 1991, pp 205-228.
- More Publications