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Titlebook: Measurement and Probability; A Probabilistic Theo Giovanni Battista Rossi Book 2014 Springer Science+Business Media Dordrecht 2014 analysis

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樓主
發(fā)表于 2025-3-21 18:34:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Measurement and Probability
副標(biāo)題A Probabilistic Theo
編輯Giovanni Battista Rossi
視頻videohttp://file.papertrans.cn/629/628101/628101.mp4
概述Contains a theoretical framework that could truly be shared by scientists in different fields, ranging from physics and engineering to psychology.Provides a sound theoretical basis for addressing key
叢書名稱Springer Series in Measurement Science and Technology
圖書封面Titlebook: Measurement and Probability; A Probabilistic Theo Giovanni Battista Rossi Book 2014 Springer Science+Business Media Dordrecht 2014 analysis
描述.Measurement plays a fundamental role both in physical and behavioral sciences, as well as in engineering and technology: it is the link between abstract models and empirical reality and is a privileged method of gathering information from the real world..Is it possible to develop a single theory of measurement for the various domains of science and technology in which measurement is involved? This book takes the challenge by addressing the following main issues: What is the meaning of measurement? How do we measure? What can be measured?.A theoretical framework that could truly be shared by scientists in different fields, ranging from physics and engineering to psychology is developed. The future in fact will require greater collaboration between science and technology and between different sciences. Measurement, which played a key role in the birth of modern science, can act as an essential interdisciplinary tool and language for this new scenario..A sound theoretical basis for addressing key problems in measurement is provided. These include perceptual measurement, the evaluation of uncertainty, the evaluation of inter-comparisons, the analysis of risks in decision-making and th
出版日期Book 2014
關(guān)鍵詞analysis of risks in decision-making; characterization of dynamical measurement; evaluation of inter-c
版次1
doihttps://doi.org/10.1007/978-94-017-8825-0
isbn_softcover978-94-024-0592-7
isbn_ebook978-94-017-8825-0Series ISSN 2198-7807 Series E-ISSN 2198-7815
issn_series 2198-7807
copyrightSpringer Science+Business Media Dordrecht 2014
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:18:56 | 只看該作者
Inference in Measurementplies being able to apply correctly the principles and methods of statistical-probabilistic inference. Basically a probabilistic inference is a way to learn from data. In the current practice of measurement, statistical methods are applied routinely, sometimes without a full understanding of their implications. This is not good practice.
板凳
發(fā)表于 2025-3-22 03:30:18 | 只看該作者
地板
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發(fā)表于 2025-3-22 20:05:35 | 只看該作者
Giovanni Battista RossiContains a theoretical framework that could truly be shared by scientists in different fields, ranging from physics and engineering to psychology.Provides a sound theoretical basis for addressing key
8#
發(fā)表于 2025-3-23 00:55:17 | 只看該作者
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發(fā)表于 2025-3-23 03:37:14 | 只看該作者
MeasurabilityThis is a key question in measurement science and it is closely related to another fundamental one: . or, in other words, . Considering such a question may thus be a good starting point for an overall reflection on measurement [., .].
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發(fā)表于 2025-3-23 06:23:39 | 只看該作者
UncertaintySuppose that you go to your physician and that he measures your blood pressure. He will probably repeat the measurement a few times and will usually not obtain exactly the same result through such repetitions.
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