使饥饿
发表于 2025-3-25 04:47:32
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MULTI
发表于 2025-3-25 08:47:01
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有帮助
发表于 2025-3-25 15:28:47
Kerry Chappell,Chris Turner,Heather Wren particular simple so that emphasis is laid on these data. It is shown that any measurement results in a digital answer. Consequently models that describe the counting process are presented. The importance of the concept of the best estimate is stressed, and rules for handling numerals are given.
galley
发表于 2025-3-25 16:59:36
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骂人有污点
发表于 2025-3-26 00:00:29
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MERIT
发表于 2025-3-26 01:38:38
Sagarika Panda,Haritha Indulekhare given. The benefit of transformation of the data (reciprocal, logarithmic or problem specific) is discussed. Traps when fitting linearized data are pointed out. The correct numerical presentation of uncertainties is exemplified. The determination (estimation) of the size of uncertainties is dealt with.
UNT
发表于 2025-3-26 07:07:48
Vikas Maurya,Rachit Agarwal,Sandeep ShuklaBy optimizing experiments time and money can be saved. Optimization with respect to background measurements, dead time, and the mathematical presentation are discussed. In particular, it is shown that the application of the ratio (or quasiabsolute) method yields the smallest uncertainties because many correlated uncertainties cancel.
lethargy
发表于 2025-3-26 11:55:02
Feedback of Uncertainties on Experiment Design,By optimizing experiments time and money can be saved. Optimization with respect to background measurements, dead time, and the mathematical presentation are discussed. In particular, it is shown that the application of the ratio (or quasiabsolute) method yields the smallest uncertainties because many correlated uncertainties cancel.
分开如此和谐
发表于 2025-3-26 13:52:42
https://doi.org/10.1007/978-3-642-01384-3Correlation of errors; Error analysis; Random error; STATISTICA; Systematic error; Uncertainty considerat
Foolproof
发表于 2025-3-26 18:50:51
978-3-642-42540-0Springer-Verlag Berlin Heidelberg 2009