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Standard Wald confidence regions for parameters in a normal nonlinear regression model often fail to capture accurately the uncertainty of estimation as reflected by the corresponding profile log-likelihood. We present a graphical method, along with a stable computational algorithm, for inference on scalar parameters in a nonlinear regression model.
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Cook et al. (1990) studied this question.
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