Measurement Error in Nonlinear Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Carroll, Raymond J.

ISBN 10: 0412047217 / ISBN 13: 9780412047213

Edité par Springer, 1995

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Synopsis :

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.

Présentation de l'éditeur: 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.

Détails bibliographiques

Titre : Measurement Error in Nonlinear Models (...
Éditeur : Springer
Date d'édition : 1995
Reliure : Couverture souple
Etat : Good