Usefulness of robust estimators in sample survey

DOI10.1080/03610918208828409zbMath0499.62018OpenAlexW2112516935MaRDI QIDQ3965397

Punam Bhasin, Moti L. Tiku

Publication date: 1982

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

Full work available at URL: https://doi.org/10.1080/03610918208828409

zbMATH Keywords

finite populationrobust estimatorssample meanmodified maximum likelihood estimatorsymmetric super-population

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) Sampling theory, sample surveys (62D05)

Related Items (4)

Robust ratio and product based estimators using known auxiliary information through modified maximum likelihood ⋮ A robust alternative to the ratio estimator under non-normality ⋮ A robust unbiased dual to product estimator for population mean through modified maximum likelihood in simple random sampling ⋮ A quadratic programming approach to the construction of simultaneous confidence intervals

Cites Work

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• Robustness of MML estimators based on censored samples and robust test statistics
• Do robust estimators work with real data?
• Linear functions of order statistics with smooth weight functions
• Robust test for means when population variances are unequal
• Monte Carlo study of some simple estimators in censored normal samples

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