• Dr. T. Leo Alexander
• M.Vanakumar

A Receiver Operating Characteristic (ROC) curve provides quick access to the quality of classification in many medical diagnoses. Research interest may lie in comparing the effectiveness of two separate diagnostic tests or the efficiency of biomarkers in predicting the disease. The comparison can be accomplished either by Area under the ROC Curve (AUC) or sensitivity of the test. We propose a Bayesian approach for the estimation of the AUC for the Exponential Distribution using Extension of Jeffrey’s Prior Information with three Loss Functions. Theoretical results are validated by simulation studies. An illustrative example is also provided to explain the concepts.

AUC, Bayesian Method, Exponential ROC model, Extension of Jeffrey’s Prior Information method

"Bayesian Estimation of AUC for Exponential Distribution", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.b609-b614, May-2022, Available :http://www.jetir.org/papers/JETIR2205185.pdf

"Bayesian Estimation of AUC for Exponential Distribution", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppb609-b614, May-2022, Available at : http://www.jetir.org/papers/JETIR2205185.pdf