ABSTRACT
Chapters 1 and 2 taught us that models developed in identification should ideally explain both the deterministic and stochastic parts of a process. The theory for modeling deterministic processes was expounded in Part I. Our journey into the modeling of random processes gets underway with this chapter. The remaining chapters of this part (Part II) describe the measures, models and representations of random processes.
