Admissible estimation for finite population when the parameter space is restricted

DOI10.1007/s101140000057zbMath1003.62006OpenAlexW2028717458MaRDI QIDQ1601215

Guo Hua Zou

Publication date: 2 February 2003

Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s101140000057

zbMATH Keywords

linear estimatorssuperpopulation modelrestricted parameter space

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Admissibility in statistical decision theory (62C15)

Related Items (3)

Admissible prediction in superpopulation models with random regression coefficients under matrix loss function ⋮ Pointwise estimates for Laplace equation. Applications to the free boundary of the obstacle problem with Dini coefficients ⋮ Admissible Linear Predictors in the Superpopulation Model with Respect to Inequality Constraints

Cites Work

• Estimating a bounded normal mean
• Minimax estimation of a constrained Poisson vector
• Predicting a population total under balanced samples
• Admissible estimation for finite population under the Linex loss function
• Admissible estimation of linear functions of characteristic values of a finite population
• Estimation in Survey Sampling: Robustness and Optimality
• Bayes and admissibility properties of estimators in truncated parameter spaces
• Some results on generalized difference estimation and generalized regression estimation for finite populations
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