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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Literature type: | eBook |
Language: | English |
Series: |
Wiley series in probability and mathematical statistics. Probability and mathematical statistics. 0271-6356 |
Subjects: | |
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. |