Asymptotic results for maximum likelihood estimation with an array of sensors

DOI10.1109/18.243452zbMath0799.62029OpenAlexW2123930942MaRDI QIDQ4307339

Gerald R. Benitz

Publication date: 4 October 1994

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.243452

zbMATH Keywords

asymptotic normalityasymptotic efficiencymaximum likelihood estimatorstrong consistencyalmost-sure convergenceFisher's information matrixadaptive array problemconvergence-of-moments conditionCramér- Rao lower boundquasi-ML estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Statistical aspects of information-theoretic topics (62B10)

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