| 书目名称 | Measurement Uncertainty | | 副标题 | An Approach via the | | 编辑 | Simona Salicone | | 视频video | | | 概述 | Textbook and professional reference for a cross-disciplinary audience of students and researchers concerned with instrumentation and measurement (applied mathematicians, engineers, computer scientists | | 丛书名称 | Springer Series in Reliability Engineering | | 图书封面 |  | | 描述 | It is widely recognized, by the scienti?c and technical community that m- surements are the bridge between the empiric world and that of the abstract concepts and knowledge. In fact, measurements provide us the quantitative knowledge about things and phenomena. It is also widely recognized that the measurement result is capable of p- viding only incomplete information about the actual value of the measurand, that is, the quantity being measured. Therefore, a measurement result - comes useful, in any practicalsituation, only if a way is de?ned for estimating how incomplete is this information. The more recentdevelopment of measurement science has identi?ed in the uncertainty concept the most suitable way to quantify how incomplete is the information provided by a measurement result. However, the problem of how torepresentameasurementresulttogetherwithitsuncertaintyandpropagate measurementuncertaintyisstillanopentopicinthe?eldofmetrology,despite many contributions that have been published in the literature over the years. Many problems are in fact still unsolved, starting from the identi?cation of the best mathematical approach for representing incomplete knowledge. Currently, measur | | 出版日期 | Textbook 2007 | | 关键词 | Applied Mathematics; Experiment; Experimental Physics; GUM; Standard; mathematics; measurement; uncertainty | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-46328-5 | | isbn_softcover | 978-1-4419-4034-6 | | isbn_ebook | 978-0-387-46328-5Series ISSN 1614-7839 Series E-ISSN 2196-999X | | issn_series | 1614-7839 | | copyright | Springer-Verlag US 2007 |
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发表于 2025-3-21 19:30:07
