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. © 1990 Taylor & Francis Group, LLC.
|Original language||English (US)|
|Number of pages||8|
|Journal||Journal of the American Statistical Association|
|State||Published - 1990|