Regression Statistics
The assumption underlying this procedure is that the model can be approximated by a linear function.
where . It follows from this that the least squares estimators are given by
The nonlinear regression statistics are computed and used as in linear regression statistics, but using J in place of X in the formulas. The linear approximation introduces bias into the statistics. Therefore more caution than usual is required in interpreting statistics derived from a nonlinear model.
Read more about this topic: Nonlinear Regression
Famous quotes containing the word statistics:
“We already have the statistics for the future: the growth percentages of pollution, overpopulation, desertification. The future is already in place.”
—Günther Grass (b. 1927)