Combining the data from two normal populations to estimate the mean of one when their means difference is bounded
type: Item
instance of: scholarly article
title: Combining the data from two normal populations to estimate the mean of one when their means difference is bounded
zbMATH Open document ID: 1032.62016
DOI: 10.1016/S0047-259X(03)00049-6
author: James V. Zidek
author: Constance van Eeden
published in: Journal of Multivariate Analysis
publication date: 2004-02-03T00:00:00Z
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F30
Mathematics Subject Classification ID: 62C15
Mathematics Subject Classification ID: 62C20
zbMATH DE Number: 2037138
zbMATH Keywords: Likelihood
zbMATH Keywords: Maximum likelihood
zbMATH Keywords: Weighted likelihood
zbMATH Keywords: Minimaxity
zbMATH Keywords: Normal means
zbMATH Keywords: Restricted parameter spaces
zbMATH Keywords: Relevance weighting
MaRDI profile type: Publication
cites work: A Bayesian analysis of the minimum AIC procedure
cites work: On the fallacy of the likelihood principle
cites work: An Empirical Distribution Function for Sampling with Incomplete Information
cites work: Statistical decision theory and Bayesian analysis. 2nd ed
cites work: Estimation of the Larger Translation Parameter
cites work: Improving on equivariant estimators
cites work: Maximum Likelihood Estimates of Monotone Parameters
cites work: On the Estimation of Parameters Restricted by Inequalities
cites work: Estimating a bounded normal mean
cites work: Bayes and admissibility properties of estimators in truncated parameter spaces
cites work: Estimation of the Last Mean of a Monotone Sequence
cites work: Empirical Bayes Methods for Combining Likelihoods
cites work: Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
cites work: The asymptotic properties of the maximum-relevance weighted likelihood estimators
cites work: A unified approach to improving equivariant estimators
cites work: Q3672893
cites work: Inadmissibility of Linearly Invariant Estimators in Truncated Parameter Spaces
cites work: On the admissibility of the M.L.E. for ordered binomial parameters
cites work: The Kernel Estimate of a Regression Function in Likelihood-Based Models
cites work: The Admissibility of Pitman's Estimator of a Single Location Parameter
cites work: The 1988 Neyman Memorial Lecture: A Galtonian perspective on shrinkage estimators
cites work: Local Likelihood Estimation
cites work: Q3258592
cites work: Q3258593
cites work: Estimating one of two normal means when their difference is bounded
cites work: Minimaxschätzer für den mittelwert ϑ einer normalverteilten zufallsgröβe mit bekannter varianz bei vorgegebener oberer und unterer schranke fiir ϑ
description: scientific article; zbMATH DE number 2037138