ABSTRACT
In previous chapters, curve types, such as / , F, and F -1 ; parameters, such as location μ, scale σ and mixing parameter p; and curve properties, such as AD, E , and Var have all been discussed from a theoretical point of view. This chapter deals with distinctions that have an applied flavor. For example, the difference between random variates on the one hand, and conditioning-explanatory or exogenous variables on the other, is based on subject matter interpretation. While definitions of parameters and curve properties can be expressed mathematically, in terms of concepts such as that of a curve and its derivative, the distinction between response, key, and nuisance variates can be explained best in terms of a given investiga tion’s purpose.
