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Revisiting the Hodges-Lehmann estimator in a location mixture model: is asymptotic normality good enough?

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Publication:1684149
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DOI10.1214/17-EJS1311zbMath1380.62230OpenAlexW2770450864MaRDI QIDQ1684149

Fadoua Balabdaoui

Publication date: 8 December 2017

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1510887946


zbMATH Keywords

rate of convergenceasymptotic normalitymixture modelHodges-Lehmann estimators


Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20)


Related Items (2)

An overview of semiparametric extensions of finite mixture models ⋮ Semiparametric mixture regression with unspecified error distributions







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