ABSTRACT

Individual repeated measurement data often exhibit a relationship between response and measurement factors that is best characterized by a model nonlinear in its parameters. In some settings, an appropriate nonlinear model may be derived on the basis of theoretical considerations. In other situations, a nonlinear relationship may be employed to provide an empirical description of the data. In this chapter, as a prelude to discussion of the hierarchical nonlinear model for data from several individuals, we review techniques for nonlinear modeling and inference for data from a single individual only.