Statistical Analysis of Measurement Error Models and Applications Proceedi

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

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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

Related Subjects

Math Mathematics Science & Math

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