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On shrinkage estimation of the exponential location parameter
Authors:Nader Ebrahimi  Balakrishna Hosmane
Affiliation:Division of Statistics , Northern Illinois University , DeKalb, IL, 80115
Abstract:Under the assumption that the exponential distribution is a reasonable model for a given population, some shrinkage estimators for the location parameter based on type 1 and type II censored samples have been derived. It is shown that these estimators dominate maximum likelihood estimators (MLE's) asymptotically under the mean squared error (MSE) criterion. A Monte Carlo study shows a significant improvement of our estimators over MLE's in terms of MSE for small samples.
Keywords:asymptotic mean squared error  type I censoring  type II censoring  shrinkage estimator  exponential distribution
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