Statistical Inferences: Based on Exponentiated Exponential Model to Assess Novel Corona Virus (COVID-19) Kerala Patient Data

In this article, we use exponentiated exponential distribution as a suitable statistical lifetime model for novel corona virus (covid-19) Kerala patient data. The suitability of the has been followed by different tools like value logarithm likelihood, Kolmogorov–Smirnov distance, Akaike information criterion, Bayesian criterion. Moreover, likelihood ratio test and empirical posterior probability analysis are performed to show its suitability. maximum-likelihood asymptotic confidence intervals parameters derived from Fisher matrix. We Markov Chain Monte Carlo technique generate samples density function. Based on generated samples, can compute Bayes estimates unknown also construct highest credible intervals. Further discuss prediction future observation based observed sample. Gibbs sampling used estimating predictive constructing order statistics