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

Author(s): Raymond J. Carroll, David Ruppert, Leonard A. Stefanski

Date: Format: pdf Language: English ISBN/ASIN: 1584886331
Pages: OCR: Quality: ISBN13:
Uploader: Upload Date: 12/27/2018 9:49:05 AM

This is the second edition of a research-level monograph ? about modeling with predictors that are subject to measurement error ? . The text describes a variety of approaches to handling such data and illustrates the models and methods with numerous examples. The early chapters set the scene with a clear description of the problem through many examples, a discussion of the different types of error, and the distinction between functional and structural models. These two types of models form the basis of the second and third parts ? with the final part devoted to more specialized material including generalized linear structure with an unknown link function, hypothesis testing, and nonparametric regression. ? this edition has been expanded by the inclusion of much more detailed sections, even completely new chapters, on Bayesian MCMC techniques, longitudinal data and mixed models, score functions, and survival analysis. The end result is an up-to-date rigorous treatment of the general ideas and methods of estimation and inference in difficult problems involving nonlinear measurement error models.