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Can I read Measurement Error in Nonlinear Models (Monographs on Statistics and Applied Probability) on EtoBox?
Measurement Error in Nonlinear Models (Monographs on Statistics and Applied Probability) by R. J. Carroll, D. Ruppert, L. A. Stefanski (auth.) is a mathematics available to read on EtoBox.
What is Measurement Error in Nonlinear Models (Monographs on Statistics and Applied Probability) about?
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 b
Who reads Measurement Error in Nonlinear Models (Monographs on Statistics and Applied Probability)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- R. J. Carroll, D. Ruppert, L. A. Stefanski (auth.)
- Publisher
- Springer US
- Published
- 1995
- Language
- EN
- ISBN
- 9780412047213
- Category
- mathematics
- Subjects
- Science, Mathematics, Stem
- Updated
- 2026-03-25
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