Improving on truncated linear estimates of exponential and gamma scale parameters

DOI10.2307/3315693zbMath0846.62006OpenAlexW2168018167MaRDI QIDQ4883622

Peter Yi-Shi Shao, William E. Strawderman

Publication date: 3 October 1996

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315693

zbMATH Keywords

exponential distributionsquared error lossgamma distributionscale parametertruncated parameter spaceuntruncated problemlinear functions of sufficient statistics

Mathematics Subject Classification ID

Point estimation (62F10) Parametric inference under constraints (62F30) Statistical decision theory (62C99) Admissibility in statistical decision theory (62C15)

Related Items (1)

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Cites Work

• Estimating a bounded normal mean
• Minimax estimation of the mean of a normal distribution when the parameter space is restricted
• Minimax estimation of a lower‐bounded scale parameter of a gamma distribution for scale‐invariant squared‐error loss
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