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0 of 2 people found the following review helpful:
5.0 out of 5 stars A short note
Fuller's monograph on measurement error models is a unique work; highly professional with no so many competitors in this league. It is a unite paper. However, its position is peculiar. It is not so popular amongst econometricians, though they are prepared to read and understand the text easily. Usually, econometricians have no inclination to analyse their problems looking...
Published 15 months ago by Jacek Czaplicki

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4 of 8 people found the following review helpful:
1.0 out of 5 stars Paperback at $100?
This review has nothing to do with the content of the book. It is the reprint of the 1987 classic on measurement error model, only NOW as PAPERBACK, and Wiley has guts to price it over $100.
Published on October 13, 2009 by Kenny


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4 of 8 people found the following review helpful:
1.0 out of 5 stars Paperback at $100?, October 13, 2009
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Kenny (Long Island, New York) - See all my reviews
This review has nothing to do with the content of the book. It is the reprint of the 1987 classic on measurement error model, only NOW as PAPERBACK, and Wiley has guts to price it over $100.
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0 of 2 people found the following review helpful:
5.0 out of 5 stars A short note, October 21, 2010
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Fuller's monograph on measurement error models is a unique work; highly professional with no so many competitors in this league. It is a unite paper. However, its position is peculiar. It is not so popular amongst econometricians, though they are prepared to read and understand the text easily. Usually, econometricians have no inclination to analyse their problems looking through imperfections contained in data and models. The book should be of special usefulness for engineers, but they are - in turn - not prepared to take such heavy technometrics load. As a rule they/we are not ready to follow considerations. It's a pity because the book is outstanding.
The author presents knowledge from the highest shelf. However, being on such high level he used to present parts of the text nonchalantly with lack of appropriate accuracy changing sometimes commonly used notations or so. For people familiar with statistics it does not matter but for engineers it might be a significant barrier to understand the text. It looks that the most important point for the author is consideration; a text reader is far at the background. Author of a book should be always at the first position.
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Measurement Error Models
Measurement Error Models by Wayne A. Fuller (Hardcover - June 30, 1987)
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