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- W2075584611 abstract ". A unified treatment of non-linear estimation, pseudolinear regression and stochastic approximation for open-loop transfer function models is provided. Pseudolinear regression techniques are used to derive the recursive non-linear least-squares estimator, avoiding the methodological problems implicit in traditional derivations. Stochastic approximation analysis is used to investigate in a direct manner the conditions of convergence and consistency of both iterative and recursive algorithms. The various methods are compared using data for an industrial process." @default.
- W2075584611 created "2016-06-24" @default.
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- W2075584611 date "1991-03-01" @default.
- W2075584611 modified "2023-09-23" @default.
- W2075584611 title "ITERATIVE AND RECURSIVE ESTIMATION OF TRANSFER FUNCTIONS" @default.
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- W2075584611 doi "https://doi.org/10.1111/j.1467-9892.1991.tb00072.x" @default.
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