Measurement Error in Nonlinear Models

By D. Ruppert, Leonard A. Stefanski, David Ruppert

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.

• Format: Hardcover
• Language: English
• ISBN: 0412047217
• ISBN13: 9780412047213
• Release Date: January 1995
• Publisher: CRC Press
• Length: 336 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.9" x 6.0" x 9.4"
• Age Range: 18 years and under
• Grade Range: Preschool to Postsecondary