Volume 31 (2020)
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Volume 24 (2013)
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Volume 22 (2011)
Volume 21 (2010)
Volume 20 (2009)
Volume 19 (2008)
Volume 18 (2007)
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Volume 16 (2005)
Volume 15 (2004)
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Volume 3 (1992)
Volume 2 (1991)
Volume 1 (1990)
Volume 1 (1989)
1. Estimating a Bounded Normal Mean Under the LINEX Loss Function

A. Karimnezhad

Volume 24, Issue 2 , Spring 2013, , Pages 157-164

Abstract
  Let X be a random variable from a normal distribution with unknown mean θ and known variance σ2. In many practical situations, θ is known in advance to lie in an interval, say [−m,m], for some m > 0. As the usual estimator of θ, i.e., X under the LINEX loss ...  Read More

2. Estimating a Bounded Normal Mean Relative to Squared Error Loss Function

A. Karimnezhad

Volume 22, Issue 3 , Summer 2011, , Pages 267-276

Abstract
  Let be a random sample from a normal distribution with unknown mean and known variance The usual estimator of the mean, i.e., sample mean is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in ...  Read More