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Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
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Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition Hardback - 2006 - 2nd Edition

by Raymond J. Carroll; David Ruppert; Leonard A. Stefanski

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From the publisher

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.

First line

Nonlinear measurement error models commonly begin with an underlying nonlinear model for the response Y in terms of the predictors.

Details

  • Title Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
  • Author Raymond J. Carroll; David Ruppert; Leonard A. Stefanski
  • Binding Hardback
  • Edition number 2nd
  • Edition 2
  • Pages 484
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2006-06-21
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • ISBN 9781584886334 / 1584886331
  • Weight 1.73 lbs (0.78 kg)
  • Dimensions 9 x 6.32 x 1.24 in (22.86 x 16.05 x 3.15 cm)
  • Category Mathematics
  • Library of Congress subjects Nonlinear theories, Regression analysis
  • Library of Congress Catalogue Number 2006045485
  • Dewey Decimal Code 519.536

Media reviews

Citations

  • Scitech Book News, 12/01/2006, Page 32

About the author

Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.; Crainiceanu, Ciprian M.
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Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
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Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition

by Ruppert, David; Stefanski, Leonard A.; Carroll, Raymond J.

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

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

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

by Carroll, Raymond J.

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

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Measurement Error In Nonlinear Models
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Measurement Error In Nonlinear Models

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

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

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Measurement Error In Nonlinear Models
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Measurement Error In Nonlinear Models

by Carroll, Raymond J,

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

by Reid, N. (Series edited by)/ Isham, Valerie (Series edited by)/ Tibshirani, R.J. (Series edited by)/ Louis, Thomas A. (Series edited by)/ Tong, Howell (Series edited by)/ Keiding, Niels (Series edited by)/ Murphy, Susan.A (Series edited by)/ Carroll, Raym

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