Titlebook: Dealing with Uncertainties; A Guide to Error Ana Manfred Drosg Book 2009Latest edition Springer-Verlag Berlin Heidelberg 2009 Correlation o

使饥饿

MULTI

有帮助

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.

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MERIT

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

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

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.

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https://doi.org/10.1007/978-3-642-01384-3Correlation of errors; Error analysis; Random error; STATISTICA; Systematic error; Uncertainty considerat

Foolproof

978-3-642-42540-0Springer-Verlag Berlin Heidelberg 2009