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On the Lp estimation of a quantity from a set of observations

R Willink

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This paper considers the estimation of a quantity from a set of repeated measurements {xi} by the value of t minimizing ∑i |xit|p, as in Pennecchi and Callegaro (2006 Metrologia 43 213–19). The estimate with p = 2 is the familiar sample mean. Assumptions that are relevant when preferring an estimate with p < 2 are identified and examined. Theoretical considerations and results of simulations weaken the case for choosing an estimate with p < 2. The simulation results support the regular use of the sample mean or an estimate that involves the value p = 1.5 when the kurtosis of the dataset is sufficiently large.


PACS

06.20.Dk Measurement and error theory

02.60.Cb Numerical simulation; solution of equations

02.70.Rr General statistical methods

Subjects

Computational physics

Instrumentation and measurement

Dates

Issue 2 (April 2007)

Received 8 December 2006

Published 12 February 2007



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