Edition Error In Measurement Model Modern Nonlinear Perspective Second
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van GoogleInloggenVerborgen veldenBoekenbooks.google.nl - 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...https://books.google.nl/books/about/Measurement_Error_in_Nonlinear_Models.html?hl=nl&id=9kBx5CPZCqkC&utm_source=gb-gplus-shareMeasurement Error in Nonlinear ModelsMijn bibliotheekHelpGeavanceerd zoeken naar boekeneBoek kopen - € 103,24Dit boek in gedrukte vorm bestellenCRC PressBol.comProxis.nlselexyz.nlVan StockumAlle verkopers»Measurement Error in Nonlinear Models: A Modern Perspective, Second EditionRaymond J. Carroll, https://www.crcpress.com/Measurement-Error-in-Nonlinear-Models-A-Modern-Perspective-Second-Edition/Carroll-Ruppert-Stefanski-Crainiceanu/p/book/9781584886334 David Ruppert, Leonard A. Stefanski, Ciprian M. CrainiceanuCRC Press, 21 jun. 2006 - 488 pagina's 1 Reviewenhttps://books.google.nl/books/about/Measurement_Error_in_Nonlinear_Models.html?hl=nl&id=9kBx5CPZCqkCIt’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 https://books.google.com/books/about/Measurement_Error_in_Nonlinear_Models.html?id=9kBx5CPZCqkC 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 Nonli
ISBN By Publisher Find Book Advanced Search Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.; Crainiceanu, Ciprian M. Measurement Error in Nonlinear Models: A http://www.abebooks.com/9781584886334/Measurement-Error-Nonlinear-Models-Modern-1584886331/plp Modern Perspective, Second Edition ISBN13:9781584886334 Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.; Crainiceanu, Ciprian M. 4 avg rating • ( 3 ratings by GoodReads ) Publisher: Chapman and Hall/CRC, 2006 ISBN10:1584886331 ISBN13:9781584886334 Hardcover View all copies of this book Synopsis It’s been over error in 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 measurement error in 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.
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