Author(s)

B. S. Biradar¹, B. K. Shivanna^2*

¹Department of Studies in Statistics, University of Mysore, Mysuru, India.
²Department of Statistics, Maharani’s Science College for Women, Mysuru, India.

A modification of ranked set sampling (RSS) called maximum ranked set sampling with unequal sample (MRSSU) is considered for the Bayesian estimation of scale parameter α of the Weibull distribution. Under this method, we use Linex loss function, conjugate and Jeffreys prior distributions to derive the Bayesian estimate of α. In order to measure the efficiency of the obtained Bayesian estimates with respect to the Bayesian estimates of simple random sampling (SRS), we compute the bias, mean squared error (MSE) and asymptotic relative efficiency of the obtained Bayesian estimates using simulation. It is shown that the proposed estimates are found to be more efficient than the corresponding one based on SRS.

Bayesian Estimation, Loss Function, MRSSU, SRS, RSS

Biradar, B. and Shivanna, B. (2016) Weibull-Bayesian Estimation Based on Maximum Ranked Set Sampling with Unequal Samples. Open Journal of Statistics, 6, 1028-1036. doi: 10.4236/ojs.2016.66083.