A bootstrap method for the statistical estimation of model parameters†

Publisher Website
Google Scholar
Abstract
This paper presents the derivation and evaluation of an asymptotically unbiased statistical estimator for the parameters in the vector difference equation canonical description of a linear multi variable system disturbed by correlated plant and measurement noise processes having rational spectral densities. The sequential estimation algorithm utilizes instrumental variables generated by a recursive filter incorporating the current parameter estimate in a novel manner. A spectral factorization technique for the identification of the noise process is discussed. Numerical results comparing the estimation algorithm with other methods are reported for scalar-output and multivariable-output cases.

This publication has 4 references indexed in Scilit: