Decision-theoretic issues in heterogeneity variance estimation
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Publication:287526
DOI10.1007/S10463-015-0505-1zbMath1432.62019OpenAlexW2031068625MaRDI QIDQ287526
Publication date: 20 May 2016
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-015-0505-1
Point estimation (62F10) Bayesian inference (62F15) Minimax procedures in statistical decision theory (62C20) Admissibility in statistical decision theory (62C15) General considerations in statistical decision theory (62C05)
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Cites Work
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- Bayes estimators of heterogeneity variance and \(T\)-systems
- Restricted likelihood representation and decision-theoretic aspects of meta-analysis
- Sensitivity of minimaxity and admissibility in the estimation of a positive normal mean
- Minimax estimation of the mean of a normal distribution when the parameter space is restricted
- Asymptotic risk behavior of mean vector and variance estimators and the problem of positive normal mean
- Lower bounds for the asymptotic Bayes risk in the scale model (With application to the second-order minimax estimation)
- On improving on the minimum risk equivariant estimator of a scale parameter under a lower-bound constraint
- A new class of minimax generalized Bayes estimators of a normal variance
- Shrinkage and modification techniques in estimation of variance and the related problems: A review
- Minimaxity in Estimation of Restricted Parameters
- Nonexponential Applications of a Global Cramèr-Rao Inequality
- Minimax estimation of a lower‐bounded scale parameter of a gamma distribution for scale‐invariant squared‐error loss
- Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach
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