Mathematical Sciences

Title :

Classification Methodologies Based on Censored Training Data Under Certain Life-Time Probabilistic Model Assumptions with Applications

Area of research :

Mathematical Sciences

Focus area :

Probabilistic Model

Principal Investigator :

Dr. Manas Ranjan Tripathy, Associate Professor, National Institute of Technology, Rourkela

Timeline Start Year :


Contact info :


Executive Summary :

Researchers are increasingly interested in classifying observations into multiple groups or populations under various probabilistic model assumptions. This problem has applications in fields like medicine, agriculture, social sciences, military surveillance, image processing, and pattern recognition. The project aims to develop new classification rules using censored training data, using probabilistic models like gamma, Weibull, log-normal, and Bur XII. Simulation methodology will be used to derive new classification rules and estimate the expected probability of misclassification.

Total Budget (INR):


Organizations involved