The Asymptotic Bound by the Kiefer-Type Information Inequality and Its Attainment

DOI10.1080/03610920601144103zbMath1124.62008OpenAlexW1970037711MaRDI QIDQ5421557

Masafumi Akahira, Nao Ohyauchi

Publication date: 24 October 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://tsukuba.repo.nii.ac.jp?action=repository_uri&item_id=29188

zbMATH Keywords

inverse problemlower boundprior distributionnon-regular caseunbiased estimatortruncated distribution

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric inference under constraints (62F30) Bayesian inference (62F15) Sufficient statistics and fields (62B05)

Related Items (1)

Comparison of risks of estimators under the LINEX loss for a family of truncated distributions

Cites Work

• Unnamed Item
• Lower bounds for the variance in certain nonregular distributions
• Asymptotic properties of MLE and UMVUE in one-parameter truncated distributions
• Non-regular statistical estimation
• A Bayesian view of the Hammersley–Chapman–Robbins-type inequality
• Exponential Family Distribution with a Truncation Parameter
• On Minimum Variance Estimators

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