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Instrumental variable estimator for the nonlinear errors-in-variables model

โœ Scribed by Yasuo Amemiya


Publisher
Elsevier Science
Year
1985
Tongue
English
Weight
897 KB
Volume
28
Category
Article
ISSN
0304-4076

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Robust error-in-variables estimation usi
โœ In-Won Kim; Michael J. Liebman; Thomas F. Edgar ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› American Institute of Chemical Engineers ๐ŸŒ English โš– 686 KB

For systems described by algebraic or differential equation models where all variables are subject to error, the error-in-variables method (EVM) for parameter estimation has been shown to be superior to standard least-squares techniques. Previous EVM algorithms were developed assuming linear (or lin