Measurement Error: Models, Methods, and Applications, 1st Edition (e-Book) book cover

Measurement Error

Models, Methods, and Applications, 1st Edition

By John P. Buonaccorsi

Chapman and Hall/CRC

464 pages

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Hardback: 9781420066562
pub: 2010-03-02
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pub: 2010-03-02
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Description

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

Table of Contents

Introduction. Misclassification in Estimating a Proportion. Misclassification in Two-Way Tables. Simple Linear Regression. Multiple Linear Regression. Measurement Error in Regression: A General Overview. Binary Regression. Linear Models with Nonadditive Error. Nonlinear Regression. Error in the Response. Mixed/Longitudinal Models. Time Series. Background Material. References. Indices.

About the Author

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

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General