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Determination of confidence intervals for error characteristics of measurement errors and distribution-independent measurement results

  • General Metrology Problems and Measurement Technology
  • Published:
Measurement Techniques Aims and scope

Abstract

We compare two distribution-independent methods for determining confidence intervals for the characteristics of systematic and random error and for interquantile intervals of complete error, the methods compared are the bootstrap and L0 methods. We compare the properties of computational difficulty and reliability. Both methods have approximately the same reliability, but the bootstrap methods requires 4–5 times as much work.

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Authors
  1. G. N. Solopchenko
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Additional information

Translated from Izmiritel'naya Tekhnika, No. 10, pp. 9–12, October, 1996.

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Solopchenko, G.N. Determination of confidence intervals for error characteristics of measurement errors and distribution-independent measurement results. Meas Tech 39, 988–992 (1996). https://doi.org/10.1007/BF02377462

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  • DOI: https://doi.org/10.1007/BF02377462

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