1st Edition
Measurement Error Models, Methods, and Applications
By John P. Buonaccorsi
Copyright 2010
464 Pages
30 B/W Illustrations
by
Chapman & Hall
464 Pages
30 B/W Illustrations
by
Chapman & Hall
464 Pages
by
Chapman & Hall
Also available as eBook on:
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 illustrates their application in various models. It... Read more
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.
Biography
John P. Buonaccorsi is a professor in the Department of Mathematics and Statistics at the University of Massachusetts, Amherst.
