Startseite Mathematik Standard errors and confidence intervals in inverse problems: sensitivity and associated pitfalls
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Standard errors and confidence intervals in inverse problems: sensitivity and associated pitfalls

  • H. T. Banks , S. L. Ernstberger und S. L. Grove
Veröffentlicht/Copyright: 31. Mai 2007
Journal of Inverse and Ill-posed Problems
Aus der Zeitschrift Band 15 Heft 1

We review the asymptotic theory for standard errors in classical ordinary least squares (OLS) inverse or parameter estimation problems involving general nonlinear dynamical systems where sensitivity matrices can be used to compute the asymptotic covariance matrices. We discuss possible pitfalls in computing standard errors in regions of low parameter sensitivity and/or near a steady state solution of the underlying dynamical system.

Published Online: 2007-05-31
Published in Print: 2007-04-19

Copyright 2007, Walter de Gruyter

Heruntergeladen am 10.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/JIIP.2007.001/pdf
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