On the efficiency of affine minimax rules in estimating a bounded multivariate normal mean
From MaRDI portal
Publication:4276184
DOI10.1080/03610919308813114zbMath0784.62005OpenAlexW1542540349MaRDI QIDQ4276184
Publication date: 19 January 1994
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610919308813114
minimax estimationBayes riskBayes rulesbounded parameter spacesloss of efficiencyaffine rulesgamma-minimax rulesmultivariate bounded normal meanprobability restricted rules
Estimation in multivariate analysis (62H12) Minimax procedures in statistical decision theory (62C20)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Minimax risk over hyperrectangles, and implications
- Minimax estimation of a bounded normal mean vector
- Statistical decision theory and Bayesian analysis. 2nd ed
- Estimating a bounded normal mean
- Minimax estimation of the mean of a normal distribution when the parameter space is restricted
- Minimax estimation of a constrained Poisson vector
- Rao-Cramér Type Integral Inequalities for Estimates of a Vector Parameter
- Robust Estimation of a Location Parameter