Author
Department of Statistics, University of Mazandaran, Babolsar, Iran
Abstract
The problem of shrinkage testimation (test-estimation) for the Rayleigh scale parameter θ based on censored samples under the reflected gamma loss function is considered. We obtain the minimum risk estimator among a subclass and compute its risk. A shrinkage testimator based on acceptance or rejection of a null hypothesis H0 : θ = θ0 is constructed, where θ0 is a point guess value of θ. The risk of the proposed shrinkage testimator is computed numerically and compared with the minimum risk estimator. A data set is analyzed for illustrative purposes.
Keywords