Generating confidence intervals via model comparison
Harvey J. Motulsky, Arthur Christopoulos · 2004
Abstract In this chapter, we’ll develop a third method to obtain the confidence interval of a best-fit parameter (to complement the asymptotic and Monte Carlo methods described in the previous two chapters). It is based on the method to be discussed below in Chapter 22. That chapter explains how to compare two related fits to a set of data. This method generates an F ratio, from which you can determine a P value. If the P value is less than 0.05, we say that the fit of the two models differs significantly.