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        Robust parameter estimator for non-linear growth curves.

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        Author
        Lim, Lay Giok
        Date
        1974-09
        Advisor
        Gaver, Donald P.
        Second Reader
        Lewis, Peter A.W.
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        Abstract
        The parameter estimation methods considered in this thesis are the weighted Least-Squares and Weighted Huber for some non-linear growth models. The properties of these parameter estimators derived from simulated data by means of (1) weighted and unweighted least-squares and (2) weighted and unweighted Huber robust estimation are compared. The error components of the simulated data are long- tailed and non-normal. The performance of mis-specified models is considered.
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        Approved for public release; distribution is unlimited
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        http://hdl.handle.net/10945/17220
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        • 1. Thesis and Dissertation Collection, all items

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