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

Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu

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June 21, 2006 by Chapman and Hall/CRC
Professional - 488 Pages - 75 B/W Illustrations
ISBN 9781584886334 - CAT# C331X
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

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Features

  • Presents a complete and up-to-date survey of the modern measurement error modeling literature, written by leaders in the field
  • Provides several case studies and abundant examples along with an index of this material for easy reference
  • Offers an extensive set of measurement data available for download from the book’s Web site
  • Discusses the use of R, Stata®, and WinBUGS® and supplies downloadable computer code
  • Summary

    It’s been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and extensively updated to offer the most comprehensive and up-to-date survey of measurement error models currently available.

    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.