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dc.contributor.authorZhelonkin, Mikhail
dc.contributor.authorGenton, Marc G.
dc.contributor.authorRonchetti, Elvezio
dc.date.accessioned2016-02-25T13:52:14Z
dc.date.available2016-02-25T13:52:14Z
dc.date.issued2012-04
dc.identifier.citationZhelonkin M, Genton MG, Ronchetti E (2012) On the robustness of two-stage estimators. Statistics & Probability Letters 82: 726–732. Available: http://dx.doi.org/10.1016/j.spl.2011.12.014.
dc.identifier.issn0167-7152
dc.identifier.doi10.1016/j.spl.2011.12.014
dc.identifier.urihttp://hdl.handle.net/10754/599067
dc.description.abstractThe aim of this note is to provide a general framework for the analysis of the robustness properties of a broad class of two-stage models. We derive the influence function, the change-of-variance function, and the asymptotic variance of a general two-stage M-estimator, and provide their interpretations. We illustrate our results in the case of the two-stage maximum likelihood estimator and the two-stage least squares estimator. © 2011.
dc.description.sponsorshipThe second author's research was partially supported by NSF grants DMS-1007504 and DMS-1100492, and by Award No. KUS-C1-016-04 made by King Abdullah University of Science and Technology (KAUST).
dc.publisherElsevier BV
dc.subjectAsymptotic variance
dc.subjectBounded influence function
dc.subjectChange-of-variance function
dc.subjectM-estimator
dc.subjectTwo-stage least squares
dc.titleOn the robustness of two-stage estimators
dc.typeArticle
dc.identifier.journalStatistics & Probability Letters
dc.contributor.institutionUniversite de Geneve, Geneve, Switzerland
dc.contributor.institutionTexas A and M University, College Station, United States
kaust.grant.numberKUS-C1-016-04


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