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Thread: Consistency of an estimator for nonlinear regression

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    Consistency of an estimator for nonlinear regression



    Dear all,

    It is stated e.g. in [Seber – Nonlin] that to prove consistency of an estimator \hat{\theta}_n it is sufficient to prove that the true value \theta^* uniquely minimize the averaged sum of squares p\lim \frac{1}{n} S_n(\theta).

    Could somebody give a hint how to prove this statement or maybe a link to a good book. (I have the original paper from Amemiya 1973 but this is a little bit too difficult for me)
    Last edited by Jacov; 05-15-2012 at 08:50 AM.

  2. #2
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    Re: Consistency of an estimator for nonlinear regression


    *push*

    No one? I thought this is a standard technique ?

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