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

Measurement Error in Nonlinear Models (eBook, PDF)

A Modern Perspective, Second Edition

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 488
• Erscheinungstermin: 21. Juni 2006
• Englisch
• ISBN-13: 9781420010138
• Artikelnr.: 53188717

Autorenporträt

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

Inhaltsangabe

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.