期刊名称：International Journal of Advanced Statistics and Probability
电子版ISSN：2307-9045
出版年度：2014
卷号：2
期号：2
页码：114-123
DOI：10.14419/ijasp.v2i2.3373
出版社：Journal of Advanced Computer Science & Technology
摘要：Most of estimation methods reported in the literature are based on simple random sampling (SRS), which to certain extent is considerably less effective in estimating the parameters as compared to a new sampling technique, ranked set sampling (RSS) and its modifications. In this Paper we address the problem of Bayesian estimation of the parameters for Weibull distribution, based on ranked set sampling. Two loss functions have been studied: (i) the squared-error loss function as symmetric loss function, (ii) the linex loss function as asymmetric loss function. Different estimates are compared using simulations for illustrative purposes. Keywords: Bayes, Estimation, Loss function, priors, Ranked set sampling.
