Volume 16, Number 2 (2017) | JIRSS 2017, 16(2): 0-0 | Back to browse issues page

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Department of Statistics, University of Mazandaran, Babolsar, Iran
Abstract:   (241 Views)

The problem of shrinkage testimation for the Rayleigh scale parameter θ based on censored samples under the reflected gamma loss function is considered. We obtain the minimum
risk estimator 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. One data set is used for illustrative purposes.


Type of Study: Original Paper | Subject: 62Fxx: Parametric inference
Received: 2016/10/23 | Accepted: 2017/03/22 | Published: 2017/03/22