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Science/Engineering Statistical Mechanics, Third Edition
Science/Engineering Essentials of Toxic Chemical Risk: Science and Society
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Science/Engineering Measurement Error in Nonlinear Models
Posted on 2010-03-15
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More Raymond J. Carroll - Measurement Error in Nonlinear Models: A Modern Perspective (Monographs on Statistics and Applied Probability) 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.The features new to the Second Edition include: a 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; a completely rewritten chapter on score functions; many more examples and illustrative graphs; and, 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. or
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