Measurement Error in Nonlinear Models: A Modern Perspective (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

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

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This monograph provides an up-to-date discussion of analysis strategies for regression problems in which predictor variables are measured with errors. The analysis of nonlinear regression models includes generalized linear models, transform-both-sides models and quasilikelihood and variance function problems. The text concentrates on the general ideas and strategies of estimation and inference rather than being concerned with a specific problem. Measurement error occurs in many fields, such as biometry, epidemiology and economics. In particular, the book contains a large number of epidemiological examples. An outline of strategies for handling progressively more difficult problems is also provided.
  • ISBN10 6610513465
  • ISBN13 9786610513468
  • Publish Date 21 June 2006 (first published 6 July 1995)
  • Publish Status Active
  • Out of Print 21 August 2012
  • Publish Country US
  • Publisher Taylor & Francis Ltd
  • Imprint CRC Press
  • Format eBook
  • Pages 484
  • Language English