Measurement Error: Models, Methods, and Applications

Couverture
CRC Press, 2 mars 2010 - 464 pages
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Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illu
 

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Table des matières

Introduction
1
Misclassification in Estimating a Proportion
11
Misclassification in TwoWay Tables
33
Simple Linear Regression
73
Multiple Linear Regression
105
Measurement Error in Regression A General Overview
143
Binary Regression
223
Linear Models with Nonadditive Error
259
Error in the Response
325
MixedLongitudinal Models
361
Time Series
385
Background Material
409
References
413
Author index
429
Subject index
435
Back Cover
438

Nonlinear Regression
319

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À propos de l'auteur (2010)

John P. Buonaccorsi is a professor in the Department of Mathematics and Statistics at the University of Massachusetts, Amherst.

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