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Titlebook: Measurement Uncertainties in Science and Technology; Michael Grabe Book 20051st edition Springer-Verlag Berlin Heidelberg 2005 Gaussian er

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書目名稱Measurement Uncertainties in Science and Technology
編輯Michael Grabe
視頻videohttp://file.papertrans.cn/629/628086/628086.mp4
概述A new error calculus for modern-day science
圖書封面Titlebook: Measurement Uncertainties in Science and Technology;  Michael Grabe Book 20051st edition Springer-Verlag Berlin Heidelberg 2005 Gaussian er
描述.At the turn of the 19.th. century, Carl Friedrich Gau? 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 Gau?’ 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. .
出版日期Book 20051st edition
關(guān)鍵詞Gaussian error calculus; Method of least squares; Normal; Statistical interferences; Systematic errors; d
版次1
doihttps://doi.org/10.1007/b138915
isbn_softcover978-3-642-05895-0
isbn_ebook978-3-540-27319-6
copyrightSpringer-Verlag Berlin Heidelberg 2005
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978-3-642-05895-0Springer-Verlag Berlin Heidelberg 2005
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Book 20051st edition, 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 Gau?’ error calculus ab initio, he treats random and unknown systematic errors on an equal footing from th
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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. .978-3-642-05895-0978-3-540-27319-6
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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 Gau?’ error calculus ab initio, he treats random and
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Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop- ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa- tion). These systems require powerful reasoning cap
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