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On estimating systematic errors from repeated measurements

L Lyons

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Discusses various methods for estimating the bias from a repeated set of measurements that exhibit a spread larger than expected on the basis of their statistical errors. Monte Carlo simulations are used to test how well the methods perform.


PACS

06.20.Dk Measurement and error theory

05.10.Ln Monte Carlo methods

MSC

82B80 Numerical methods (Monte Carlo, series resummation, etc.) (See also 65-XX, 81T80)

Subjects

Computational physics

Instrumentation and measurement

Statistical physics and nonlinear systems

Dates

Issue 7 (7 April 1992)



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