Jordan algebras and statistical inferences for parameters in mixed linear and nonlinear models
Roman Zmyslony (University of Opole e University of Zielona Góra)
30 de Outubro de 2009 / 10h / Sala de Reuniões do DMUBI

The lecture will present some main results about estimation and testing hypotheses for parameters in mixed models. The main conclusion is that we can unified theory about estimation and testing hypotheses both for fixed parameters and variance components. The statistical inference will be reduced to the minimal sufficient and complete statistics. For nonlinear estimation we present a new numerical procedure using full information about Hessian for getting LSE.

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