Estimation of Generalized Inverted Exponential Distribution for Progressively Type I Interval Censored Samples

This paper investigates the inference on the parameter estimation of generalized inverted exponential distribution based on progressively Type I interval censored samples. Distribution parameters are estimated using the maximum likelihood, midpoint approximation, EM algorithm, and average-point approximation methods, and their performance is compared using simulation results in terms of their mean squared error and bias for various censored samples.