of the program
Statistical Inference & Distribution Theory
Focuses on theoretical perspectives with a blend of real life applications in allied areas of statistics
Stochastic Modelling & Optimization Methods
Focuses on stochastic modelling using data driven approach
Biostatistics & Classification Techniques
Focuses on research problems pertaining to medical statistics
Reliability Theory and Survival Analysis, Bayesian Inference
Focuses on developing models that deals with engineering and medical framework.
Who can prefer this Course
Master’s degree in Statistics with a minimum of 55% marks. The entrance examination for admission to Ph.D. (Statistics) program will consist of 100 multiple choice questions on two parts.
Part-1: 50 questions on the topics of
Linear Algebra, Matrix Theory, Time Series Analysis, Statistical Quality Control, Econometrics, Demography-Vital Statistics, Operations Research.
Part-2: 50 questions on the topics of
Probability Theory, Distribution Theory, Theory of Estimation, Sampling Theory, Stochastic Processes, Testing of Statistical Hypotheses, Multivariate Analysis, Design of Experiments, Reliability Theory and Non Parametric Inference.