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Measurement error models

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 general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to...

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Bibliographic Details
Main Authors: Fuller, Wayne A
Corporate Authors: Wiley InterScience Online service
Published:
Literature type: eBook
Language: English
Series: Wiley series in probability and mathematical statistics. Probability and mathematical statistics. 0271-6356
Subjects:
Error analysis Mathematics
Regression analysis
Erreurs, Théorie des
Analyse de régression
MATHEMATICS > Probability & Statistics > General
Foutenleer
Regressieanalyse
Data > Measurement > Errors > Statistical analysis
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470316665
Summary: 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 general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The effort of Professor Fuller is commendable ... [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamen.
Item Description: Includes indexes.
Carrier Form: 1 online resource (xxiii, 440 pages).
Bibliography: Includes bibliographical references (pages 409-432).
ISBN: 9780470316665
0470316667
9780470317334 (electronic bk.)
0470317337 (electronic bk.)
Index Number: QA275
CLC: O211
Contents: Measurement Error Models; Contents; List of Examples; List of Principal Results; List of Figures; 1. A Single Explanatory Variable; 1.1. Introduction; 1.2. Measurement Variance Known; 1.3. Ratio of Measurement Variances Known; 1.4. Instrumental Variable Estimation; 1.5. Factor Analysis; 1.6. Other Methods and Models; 2.1. Bounds for Coefficients; 2.2. The Model with an Error in the Equation; 2.3. The Model with No Error in the Equation; 2.4. Instrumental Variable Estimation; 2.5. Modifications to Improve Moment Properties; 3. Extensions of the Single Relation Model.

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