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On the exponential rate of convergence of the least squares estimator in the nonlinear regression model with Gaussian errors

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  • Prakasa Rao, B. L. S.

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  • Prakasa Rao, B. L. S., 1984. "On the exponential rate of convergence of the least squares estimator in the nonlinear regression model with Gaussian errors," Statistics & Probability Letters, Elsevier, vol. 2(3), pages 139-142, May.
    • Handle: RePEc:eee:stapro:v:2:y:1984:i:3:p:139-142
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    Cited by:

    1. Yang, Wenzhi & Hu, Shuhe, 2014. "Large deviation for a least squares estimator in a nonlinear regression model," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 135-144.
    2. Bishwal, J. P. N., 1999. "Large deviations inequalities for the maximum likelihood estimator and the Bayes estimators in nonlinear stochastic differential equations," Statistics & Probability Letters, Elsevier, vol. 43(2), pages 207-215, June.
    3. Abdelrazeq, Ibrahim, 2015. "Model verification for Lévy-driven Ornstein–Uhlenbeck processes with estimated parameters," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 26-35.

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