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Titlebook: Basic Concepts of Data and Error Analysis; With Introductions t Panayiotis Nicos Kaloyerou Textbook 2018 Springer Nature Switzerland AG 201

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發(fā)表于 2025-3-21 17:57:13 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Basic Concepts of Data and Error Analysis
期刊簡稱With Introductions t
影響因子2023Panayiotis Nicos Kaloyerou
視頻videohttp://file.papertrans.cn/181/180987/180987.mp4
發(fā)行地址Easy to understand for new students.Highlights all essential formulae in boxes.Avoids non-essential detail
圖書封面Titlebook: Basic Concepts of Data and Error Analysis; With Introductions t Panayiotis Nicos Kaloyerou Textbook 2018 Springer Nature Switzerland AG 201
影響因子.This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for?the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference..
Pindex Textbook 2018
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發(fā)表于 2025-3-21 21:11:44 | 只看該作者
Theoretical Background - Probability and Statistics,lae presented in the first four chapters it is necessary to consider essential elements of probability theory as well as a more complete treatment of statistics. This then is the purpose of this chapter. To achieve a coherent self-contained treatment there may be a little repetition of earlier mater
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P. Malfertheiner,U. R. M. Bohr,T. Güntherlae presented in the first four chapters it is necessary to consider essential elements of probability theory as well as a more complete treatment of statistics. This then is the purpose of this chapter. To achieve a coherent self-contained treatment there may be a little repetition of earlier mater
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https://doi.org/10.1007/978-94-011-3927-4rd errors in the mean, to represents data graphical and to draw graphs of the best straight line. Experimental results are most usefully represented by linear graphs. For this, we will use the method of least squares to find the best straight line and associated errors.
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Scientific Calculations, Significant Figures and Graphs, we perform calculations on the data we have collected. Almost all our calculations are therefore carried out on measured quantities. A well-designed experiment, carefully carried out, is wasted if errors are made in calculation or if we claim more or less accuracy than we are entitled to do.
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