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The expression of uncertainty in non-linear parameter estimation

A Balsamo, G Mana1 and F Pennecchi

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We made an analysis of uncertainty propagation in parameter estimation when the cost function minimization leads to a set of non-linear equations. In our study, which concerns an uncertainty-propagation law independent of any specific minimization algorithm, we review the relationship between the Hessian of the cost function and the estimate uncertainty, as well as the reasons supporting their identification. We show that the uncertainty expressed on this basis could lead to accuracy overestimation.


PACS

06.20.Dk Measurement and error theory

02.50.-r Probability theory, stochastic processes, and statistics

Subjects

Computational physics

Instrumentation and measurement

Dates

Issue 5 (October 2006)

Received 16 February 2006

Published 12 September 2006



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