Prefer a chat interface with context about you and your work?
Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach
Abstract The exact density distribution of the nonālinear least squares estimator in the oneāparameter regression model is derived in closed form and expressed through the cumulative distribution function of the standard normal variable. Several proposals to generalize this result are discussed. The exact density is extended to the estimating equation ā¦