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Calculating estimates of a parameter which nonlinearly enters a regression function

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Literature Cited

  1. R. I. Jennrich, “Asymptotic properties of nonlinear least squares estimator,” Ann. Math. Statist.,40, 633–643 (1969).

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  3. H. O. Hartley, “Modified Gauss — Newton method for the fitting of nonlinear regression functions,” Technometrics,3, 269–280 (1961).

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  4. O. V. Ivanov, “An occasion for estimates of least squares of parameters of a nonlinear regression function,” Visnik KDU, No. 15 (1973).

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  6. H. Cramer and M. R. Leadbetter, Stationary and Related Stochastic Processes, Wiley (1967).

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Authors
  1. A. V. Ivanov
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Additional information

Translated from Kibernetika, No. 1, pp. 99–103, January–February, 1974.

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Ivanov, A.V. Calculating estimates of a parameter which nonlinearly enters a regression function. Cybern Syst Anal 10, 123–129 (1974). https://doi.org/10.1007/BF01069028

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  • DOI: https://doi.org/10.1007/BF01069028

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