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Original Articles

Nonlinear LP-norm estimation: part I - on the choice of the exponent, p, where the errors are additive

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Pages 827-840 | Received 01 Oct 1983, Published online: 09 Nov 2007
 

Abstract

In this paper we shall be concerned with the errors in the nonlinear model as opposed to the actual estimation of the parameter vector A simulation study is reported which indicates an empirical relationship between the optimal exponent p and the kurtosis of a given symmetric error distribution. The results are supported by the application of recently established asymptotic properties of linear LP-norm estimators to the nonlinear case.

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