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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Yes, you can access Measurement Error in Nonlinear Models by Raymond J. Carroll, David Ruppert, Leonard A. Stefanski, Ciprian M. Crainiceanu in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2006

ISBN

9781420010138

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Cover
Title
Copyright
Preface to the First Edition
Preface to the Second Edition
Guide to Notation
Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: IMPORTANT CONCEPTS
CHAPTER 3: LINEAR REGRESSION AND ATTENUATION
CHAPTER 4: REGRESSION CALIBRATION
CHAPTER 5: SIMULATION EXTRAPOLATION
CHAPTER 6: INSTRUMENTAL VARIABLES
CHAPTER 7: SCORE FUNCTION METHODS
CHAPTER 8: LIKELIHOOD AND QUASILIKELIHOOD
CHAPTER 9: BAYESIAN METHODS
CHAPTER 10: HYPOTHESIS TESTING
CHAPTER 11: LONGITUDINAL DATA AND MIXED MODELS
CHAPTER 12: NONPARAMETRIC ESTIMATION
CHAPTER 13: SEMIPARAMETRIC REGRESSION
CHAPTER 14: SURVIVAL DATA
CHAPTER 15: RESPONSE VARIABLE ERROR
APPENDIX A: BACKGROUND MATERIAL
APPENDIX B: TECHNICAL DETAILS
References
Applications and Examples Index
Author Index
Subject Index