Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.; Crainiceanu, Ciprian M.
ISBN 10: 1584886331 ISBN 13: 9781584886334
Published by Chapman and Hall/CRC, 2006
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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.
About the Author: Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.; Crainiceanu, Ciprian M.
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Title: Measurement Error in Nonlinear Models: A ...
Publisher: Chapman and Hall/CRC
Publication Date: 2006
Binding: Hardcover
Condition: New
Edition: 2nd Edition
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Measurement Error in Nonlinear Models
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 484 pp. Englisch. Seller Inventory # 9781584886334
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781584886334
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