| 書目名稱 | Measurement Uncertainties in Science and Technology | | 編輯 | Michael Grabe | | 視頻video | http://file.papertrans.cn/629/628087/628087.mp4 | | 概述 | Expanded, restructured and updated new edition.Standardizes data evaluations.A useful guidebook to experimentalists.Leads metrology down to the physically true values of measured quantities.Includes n | | 圖書封面 |  | | 描述 | .This book recasts the classical Gaussian error calculus from scratch, the inducements concerning both?random and unknown systematic errors. The idea of this book?is to create a formalism being fit to localize the true values of physical quantities considered – true?with respect?to the set of predefined physical units. Remarkably enough, the prevailingly practiced forms of error calculus do not feature this property which however proves in every respect, to be physically indispensable. The amended formalism, termed Generalized Gaussian Error Calculus by the author, treats unknown systematic errors as biases and brings random errors to bear via enhanced confidence intervals as laid down by Student. The significantly extended second edition thoroughly restructures and systematizes the text as a whole and illustrates the formalism by numerous numerical examples. They demonstrate the basic principles of how to?understand uncertainties to localize the true values of measured values - a perspective decisive in view of the contested physical explorations.. | | 出版日期 | Book 2014Latest edition | | 關(guān)鍵詞 | Enhanced Confidence Intervals; Generic Metrological Issues; Least Squares Adjustment; Linear and Linea | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-319-04888-8 | | isbn_softcover | 978-3-319-33056-3 | | isbn_ebook | 978-3-319-04888-8 | | copyright | Springer-Verlag Berlin Heidelberg 2014 |
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