Statistical Analysis of Measurement Error Models and Applications Proceedi

by Wayne A. Fuller and Ams-IMS-Siam Joint Summer Research Conference

Measurement error models describe functional relationships among variables observed, subject to random errors of measurement. Examples include linear and nonlinear errors-in-variables regression models, calibration and inverse regression models, factor analysis models, latent structure models, and simultaneous equations models. Such models are used in a wide variety of areas, including medicine, the life sciences, econometrics, chemometrics, geology,...

• Format: Paperback
• Language: English
• ISBN: 0821851179
• ISBN13: 9780821851173
• Release Date: January 1990
• Publisher: American Mathematical Society(RI)
• Length: 248 Pages