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Estimating quantiles of several normal populations with a common mean
Authors:Manas Ranjan Tripathy  Somesh Kumar  Adarsha Kumar Jena
Affiliation:1. Department of Mathematics, National Institute of Technology Rourkela, Rourkela, India;2. Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur, India
Abstract:Suppose we have k( ? 2) normal populations with a common mean and possibly different variances. The problem of estimation of quantile of the first population is considered with respect to a quadratic loss function. In this paper, we have generalized the inadmissibility results obtained by Kumar and Tripathy (2011 Kumar, S., Tripathy, M.R. (2011). Estimating quantiles of normal populations with a common mean. Commun. Stat. - Theory Methods 40:27192736.[Taylor &; Francis Online], [Web of Science ®] [Google Scholar]) for k = 2 to a general k( ? 2). Moreover, a massive simulation study has been done in order to numerically compare the risk values of various proposed estimators for the cases k = 3 and k = 4 and recommendations are made for the use of estimators under certain situations.
Keywords:Affine equivariant estimators  common mean  inadmissibility  location equivariant estimators  quadratic loss function  quantile estimation  relative risk performance.
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