Parameters Estimation for the Generalized Inverted Exponential Distribution Based on Progressive Type II Hybrid Censored Sample

In this article, we consider the statistical inferences of the unknown parameters of a generalized inverted exponential (GIE) distribution based on the progressive Type II hybrid censored sample. The maximum likelihood estimators are developed for estimating the unknown parameters. The Bayesian estimates of the unknown parameters under the assumption of independent gamma priors are obtained using Lindley’s approximation. Finally, one data set is analyzed for illustrative purposes.