Empirical Bayes Estimation in Exponential Model Based on Record Values under Asymmetric Loss
In this paper, the empirical estimates is derived for the parameter of the exponential model based on record values by taking quasi prior and inverse prior Gamma distributions using the LINEX loss and entropy loss functions. These estimates are compared with the corresponding maximum likelihood (ML) and Bayes estimates, and also compared with the corresponding Bayes estimates under squared error loss function. A Monte Carlo simulation is used to investigate the accuracy of estimation.