Measurement Error in Nonlinear Models: A Modern Perspective,

What’s new in the Second Edition?

В·В В В В В В В В  Greatly expanded discussion and applications of Bayesian computation via Markov Chain Monte Carlo techniques

В·В В В В В В В В  A new chapter on longitudinal data and mixed models

В·В В В В В В В В  A thoroughly revised chapter on nonparametric regression and density estimation

В·В В В В В В В В  A totally new chapter on semiparametric regression

В·В В В В В В В В  Survival analysis expanded into its own separate chapter

В·В В В В В В В В  Completely rewritten chapter on score functions

В·В В В В В В В В  Many more examples and illustrative graphs

В·В В В В В В В В  Unique data sets compiled and made available online

In addition, the authors expanded the background material in Appendix A and integrated the technical material from chapter appendices into a new Appendix B for convenient navigation. Regardless of your field, if you’re looking for the most extensive discussion and review of measurement error models, then Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition is your ideal source.