Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition

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.