A New Family of Distribution with Application on Two Real Datasets on Survival Problem
Keywords:Exponential distribution, Maximum likelihood estimation, Order statistics, Probability weighted moments, Renyi entropy
In this paper we introduce a new Modi family of continuous probability distributions with application on patients suffering from disease and their survival times. The proposed distribution possesses a density function with three parameters and an inverted J-shape hazard rate function. We studied the nature of proposed distribution with the help of its mathematical and statistical properties. The probability density function of order statistics for this distribution is also obtained. We perform classical estimation of parameters by using the technique of maximum likelihood estimate. We apply it to two real datasets and show that it provides better fit than other well known distributions.