My primary research interests is on goodness of fit problems when the available data are subject to censoring. Censoring methodology is one of the most efficient methods of sampling that efficiently reduce the cost of sampling in terms of expenses and time. I am interested to work on problems concerning statistical inference related to different kinds of censoring methods. Specifically, the progressively Type-II censoring method. Some areas that I have worked on are:

• Censoring Methodologies
• Goodness-of-fit testing
• Bootstrap and other resampling methods
• Monte Carlo inference
• Survival analysis
• Strength-Stress models