Non-Fiction Books:

Measurement Error

Models, Methods, and Applications
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Description

Measurement Error provides an understanding of measurement error, the effects of ignoring it, and how to correct for these effects. The book focuses on the models and methods involved and demonstrates how they can be implemented in practice. Keeping theory to a minimum with an appendix of theoretical background, it presents numerous examples from biostatistics and epidemiology as well as ecology and the social sciences. The author implements these examples using available Stata routines and his own SAS programs. Topics covered include misclassification in estimation, measurement error in inference, predictors, and time series.

Author Biography:

John P. Buonaccorsi is a professor in the Department of Mathematics and Statistics at the University of Massachusetts, Amherst.
Release date Australia
March 2nd, 2010
Audience
  • Professional & Vocational
Illustrations
94 Tables, black and white; 30 Illustrations, black and white
Pages
464
Dimensions
156x234x28
ISBN-13
9781420066562
Product ID
3640082

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