Measurement Uncertainties in Science and Technology
Language: English
Published by Springer, Berlin and New York, 2005
- First Edition
- Hardcover
- Used

Seller: Row By Row Bookshop, Sugar Grove, NC, U.S.A.Row By Row Bookshop
AbeBooks seller since May 17, 1998
Condition: Used - Good
US$ 40.00
Quantity: 1 available
Add to basketItem description from seller
An ex-library copy in original pictorial hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued.
Seller Inventory # 064463
- Title
- Measurement Uncertainties in Science and Technology
- Author
- Grabe, Michael
- Publisher
- Springer, Berlin and New York
- Publication year
- 2005
- Condition
- Good
- Dust jacket
- No Dust Jacket
- Book Type
- Book
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3540209441
- ISBN 13
- 9783540209447
- Edition
- First Edition.
In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß` error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.
"Synopsis" may belong to another edition of this title.
From the Back Cover
At the turn of the 19th century, Carl Friedrich Gauß founded error calculus by predicting the then unknown position of the planet Ceres. Ever since, error calculus has occupied a place at the heart of science. In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß’ error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.
"About the title" may belong to another edition of this title.
Row By Row Bookshop
Sugar Grove, NC, U.S.A.
AbeBooks seller since May 17, 1998
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