KAUST Grant NumberKUS-C1-016-04
Permanent link to this recordhttp://hdl.handle.net/10754/599067
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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.
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.
SponsorsThe 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).
JournalStatistics & Probability Letters