Simpson, Douglas G.; Carroll, Raymond J.; Ruppert, David M-estimation for discrete data: Asymptotic distribution theory and implications. (English) Zbl 0652.62011 Ann. Stat. 15, 657-669 (1987). The authors consider the asymptotic distribution of an M-estimator when the underlying distribution is discrete. They show its asymptotic normality quite generally. When the specification of the model is inexact, however, non-normal limiting distributions may result, and lead the authors to propose smooth score functions for discrete data. Reviewer: A.N.Philippou Cited in 7 Documents MSC: 62E20 Asymptotic distribution theory in statistics 62F10 Point estimation 62F35 Robustness and adaptive procedures (parametric inference) Keywords:discrete model; robust estimation; M-estimator; asymptotic normality; non-normal limiting distributions; smooth score functions PDF BibTeX XML Cite \textit{D. G. Simpson} et al., Ann. Stat. 15, 657--669 (1987; Zbl 0652.62011) Full Text: DOI OpenURL