ABSTRACT
This chapter describes the use of likelihood methods in nonlinear measurement error models. Prior to the first edition of this text, there were only a handful of applications of likelihood methods in our context. Since that time, largely inspired by the revolution in Bayesian computing, construction of likelihood methods with computation by either frequentist or Bayesian means has become fairly common.
