Robust parameter estimator for non-linear growth curves.
Lim, Lay Giok
Gaver, Donald P.
Lewis, Peter A.W.
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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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