Wayne A. Fuller
Abstract
An estimator for the parameters of the nonlinear errors-in-variables model with smaller bias than that of the functional maximum likelihood estimator is presented. The estimator is a least squares estimator with an internal Monte Carlo adjustment for bias.
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An estimator for the parameters of the nonlinear errors-in-variables model with smaller bias than that of the functional maximum likelihood estimator is presented. The estimator is a least squares estimator with an internal Monte Carlo adjustment for bias.
Key concepts: Estimator, Monte Carlo method, Mathematics, Statistics, Errors-in-variables models, Minimax estimator, Nonlinear system, Minimum-variance unbiased estimator