What's new in the Second Edition?
* Greatly expanded discussion and applications of Bayesian computation via Markov Chain Monte Carlo techniques
* A new chapter on longitudinal data and mixed models
* A thoroughly revised chapter on nonparametric regression and density estimation
* A totally new chapter on semiparametric regression
* Survival analysis expanded into its own separate chapter
* Completely rewritten chapter on score functions
* Many more examples and illustrative graphs
* 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.
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