This paper describes a method of robust estimation of shift and scale parameters in a mixed unbalanced interlaboratory model. Estimators presented result from "easily computable" Fréchet differentiable functionals which enjoy some optimal properties in a small neighborhood of the model. A rigorous treatment of their asymptotic behaviour under departures from the model assumptions and a simulation study are given.

Linear model, Linear estimation, Linear prediction, Admissibility, Admissibility among an affine set, Locally best estimator,

No abstract

No abstract