Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Tapa blanda

Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A.

 
9780412047213: Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Sinopsis

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.

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Críticas

"I enjoyed reading this book and would recommend it to statisticians for their library." -Journal of Quality Technology ..."This present book is an essential purchase for the library and an excellent purchase for individuals." -International Statistical Institute ..."the book provides an up-to-date introduction to the application of MCMC methods. It is both readable and coherent and should form an essential addition to any modern applied statistician." -The Statistician "It has been a pleasure reading this book...the range of the authors appreciation of the actual issues and challenges pertaining to particular data sets, and extensive theoretical justification of estimation techniques is very impressive." -Biometrics

Reseña del editor

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.

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Otras ediciones populares con el mismo título

9781584886334: Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition: 105 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Edición Destacada

ISBN 10:  1584886331 ISBN 13:  9781584886334
Editorial: Chapman and Hall/CRC, 2006
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