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Robust estimation in the multivariate normal model with variance components
Authors:Agnieszka Kulawik  Stefan Zontek
Institution:1. Institute of Mathematics, University of Silesia, 40 007 Katowice, Bankowa 14, Polandagnieszka.kulawik@us.edu.pl;3. Faculty of Mathematics, Computer Science and Econometrics, University of Zielona Góra, 65 516 Zielona Góra, Szafrana 4A, Poland
Abstract:Fisher consistent and Fréchet differentiable statistical functionals have been already used by Bednarski and Zontek Robust estimation of parameters in a mixed unbalanced model. Ann Statist. 1996;24(4):1493–1510] to get a robust estimator of parameters in a two-way crossed classification mixed model. This way of robust estimation appears also in the variance components model with a commutative covariance matrix Zmy?lony, Zontek. Robust M-estimator of parameters in variance components model. Discuss Math Probab Stat. 2002;22:61–71]. In this paper it is shown that a modification of this method does not involve any assumptions about commutation of covariance matrix. The theoretical results have been completed with computer simulation studies. Robustness of considered estimator and possibility of approximation of the estimator's distribution with some multivariate normal distribution for both model and contaminated data have been confirmed there.
Keywords:asymptotic normality  Fisher consistency  Fréchet differentiability  multivariate robust estimation  statistical functional
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