Titlebook: Robust Asymptotic Statistics; Volume I Helmut Rieder Book 1994 Springer-Verlag New York, Inc. 1994 Estimator.Likelihood.Parametric statisti

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Springer Series in Statisticshttp://image.papertrans.cn/r/image/831263.jpg

奴才

https://doi.org/10.1007/978-1-4684-0624-5Estimator; Likelihood; Parametric statistics; Variance; linear regression; statistics

ETCH

Von Mises Functionals,The asymptotic (as.) normality of several classical estimators can be derived by way of the differentiation of functionals. The approach goes back to von Mises (1947), and has been cast into the framework of compact differentiation by Reeds (1976).

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Nonparametric Statistics,robustness by Beran (1977–1984) and Millar (1979–1984). For the full neighborhoods and the usual procedures of robust statistics, however, bias will dominate the nonparametric as. statistical optimality results.

EVEN

Robust Regression,differentiable with . derivative and Fisher information of full rank given by.Thus the robustness results for general parameter apply with this ideal center model. Due to the regression structure, however, additional variants of neighborhoods, bias terms, and corresponding optimization (and, in principle, construction) problems arise.

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978-1-4684-0626-9Springer-Verlag New York, Inc. 1994

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