On uniformly minimum variance unbiased estimation when no complete sufficient statistics exist

DOI10.1007/BF02056900zbMath0527.62032MaRDI QIDQ595293

Lennart Bondesson

Publication date: 1983

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/175870

zbMATH Keywords

complete sufficient statisticsuniformly minimum variance unbiased estimationUMVUEgeneralization of Lehmann-Scheffe theorem

Mathematics Subject Classification ID

Point estimation (62F10) Sufficient statistics and fields (62B05)

Related Items

On the structure of UMVUEs ⋮ On the Nile problem by Sir Ronald Fisher ⋮ Partially Complete Sufficient Statistics Are Jointly Complete ⋮ Some aspects of minimum variance unbiased estimation in presence of ancillary statistics

Cites Work

• Sufficient Statistics with Nuisance Parameters
• Linear Statistical Inference and its Applications
• Some Theorems Relevant to Life Testing from an Exponential Distribution
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