Errors-in-Variables Problems in Practice
How to deal with EIV problems in practice is the topic of this chapter, which takes a user’s perspective. The performance of many of the identification methods treated in the book is compared. The user choices for several identification methods are discussed in some detail. The role of the underlying assumptions are described, with the aim of giving guidelines for the user. Specific results on how to treat and regard the assumptions on the experimental setup, on the measurement noise, on the noise-free input signal are discussed. It is also shown what can happen when methods based on such assumptions are applied, but the assumptions fail to hold.