Maximum likelihood estimation of mixture constants and locally optimal detection of contaminants

DOI10.1016/0016-0032(89)90050-1zbMath0679.62019OpenAlexW2026902560MaRDI QIDQ1822861

Douglas J. Warren, John B. Thomas

Publication date: 1989

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0016-0032(89)90050-1

zbMATH Keywords

consistencyasymptotic normalitynonlinearitysignal processinglocationmaximum likelihood estimateasymptotic M-estimation of mixture constantsasymptotic variance of consistent M-estimatorsdetection of the presence of contaminating distributionssonar problems

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Robustness and adaptive procedures (parametric inference) (62F35) Survival analysis and censored data (62N99)

Related Items (1)

Stochastic signal detection in nearly-Gaussian noise using moment detectors

Cites Work

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• The Detection of Signals in Impulsive Noise Modeled as a Mixture Process
• Estimating Mixtures of Normal Distributions and Switching Regressions
• Robust Estimation of a Location Parameter

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