Measurement Error

Measurement Error
Author: John P. Buonaccorsi
Publisher: CRC Press
Total Pages: 465
Release: 2010-03-02
Genre: Mathematics
ISBN: 1420066587

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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


Measurement Error
Language: en
Pages: 465
Authors: John P. Buonaccorsi
Categories: Mathematics
Type: BOOK - Published: 2010-03-02 - Publisher: CRC Press

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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 measureme
Measurement Error Models
Language: en
Pages: 474
Authors: Wayne A. Fuller
Categories: Mathematics
Type: BOOK - Published: 2009-09-25 - Publisher: John Wiley & Sons

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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and g
Measurement Error and Research Design
Language: en
Pages: 460
Authors: Madhu Viswanathan
Categories: Psychology
Type: BOOK - Published: 2005-02-10 - Publisher: SAGE

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"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measureme
Measurement Error and Misclassification in Statistics and Epidemiology
Language: en
Pages: 213
Authors: Paul Gustafson
Categories: Mathematics
Type: BOOK - Published: 2003-09-25 - Publisher: CRC Press

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Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and e
Statistical Analysis with Measurement Error or Misclassification
Language: en
Pages: 497
Authors: Grace Y. Yi
Categories: Mathematics
Type: BOOK - Published: 2017-08-02 - Publisher: Springer

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This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems ari