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Wayne A. Fuller - Measurement Error Models - 9780470095713 - V9780470095713
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Measurement Error Models

€ 153.72
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Description for Measurement Error Models Paperback. This valuable book-length treatment of the field offers coverage of estimation for situations where the model variables are observed subject to measurement error. Included are regression models with errors in the variables, latent variable models, and factor models. Series: Wiley Series in Probability and Statistics. Num Pages: 440 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 233 x 158 x 25. Weight in Grams: 672.
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 fundamental book on the subject, and statisticians ... Read more

Product Details

Format
Paperback
Publication date
2006
Publisher
John Wiley and Sons Ltd United States
Number of pages
440
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
480
Place of Publication
, United States
ISBN
9780470095713
SKU
V9780470095713
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Wayne A. Fuller
WAYNE A. FULLER, PhD, is Distinguished Professor Emeritus in the Department of Economics at Iowa State University. He is a Fellow of the American Statistical Association, Econometric Society, and Institute of Mathematical Statistics, and he is also a member of the International Statistical Institute.

Reviews for Measurement Error Models
"…very interesting for the theory it contains… enjoyable and useful." (Zentralblatt MATH, 1107, 64)

Goodreads reviews for Measurement Error Models


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