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

✍ Scribed by Raymond J. Carroll (Author); David Ruppert (Author); Leonard A. Stefanski (Author); Ciprian M. Crainiceanu (Author)

Publisher
Chapman and Hall/CRC
Year
2006
Leaves
484
Edition
2
Category
Library
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✦ Synopsis

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 ex

✦ Table of Contents

Introduction. Important Concepts. Linear Regression and Attenuation. Regression Calibration. Simulation Extrapolation. Instrumental Variables. Score Function Methods. Likelihood and Quasilikelihood. Bayesian Methods. Hypothesis Testing. Longitudinal Data and Mixed Models. Nonparametric Estimation. Semiparametric Regression. Survival Data. Response Variable Error. Appendix A: Background Material. Appendix B: Technical Details. References. Applications and Examples Index. Index.

✦ Subjects

Bioscience;Biology;Statistics for the Biological Sciences;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods

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Measurement Error in Nonlinear Models
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✍ Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu πŸ“‚ Library πŸ“… 2006 πŸ› Chapman and Hall/CRC 🌐 English

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, Sec