Fearn, T

Ramsey, MH

Rostron, PD

English

UCL Discovery

Vol.:(0123456789) Accreditation and Quality Assurance (2021) 26:59 https://doi.org/10.1007/s00769-021-01457-9CORRECTIONCorrection to: Confidence intervals for robust estimates of measurement uncertaintyPeter D. Rostron1  · Tom Fearn2 · Michael H. Ramsey1Published online: 25 February 2021 © The Author(s) 2021Correction to:  Accreditation and Quality Assurance (2020) 25:107–119  https ://doi.org/10.1007/s0076 9-019-01417 -4The notations Fp,ν1,ν2 and χ2p,ν in Eqs. (1), (2) and (3) cor-respond to that of Graybill [8], for whom the probability p is that in the upper tail. Thus they correspond to the inverse cumulative distribution functions of the respective distribu-tions evaluated for a probability of 1−p and not for a prob-ability p as stated in the paragraph immediately above these equations. The correct interpretation was used in coding the RANOVA3 software and in all the other computations reported in the paper.The originally published text at the top of the third page is:Fp, ν1, ν2 is the inverse cumulative distribution function (cdf) of the F probability distribution with degrees of free-dom ν1, ν2 for a probability p, and χ2p,ν is the inverse cdf of the chi-squared distribution with degrees of freedom ν for probability p.The corrected text therefore is:Fp, ν1, ν2 is the inverse cumulative distribution function (cdf) of the F probability distribution with degrees of free-dom ν1, ν2 for a probability 1−p, and χ2p,ν is the inverse cdf of the chi-squared distribution with degrees of freedom ν for probability 1−p.Open Access  This article is licensed under a Creative Commons Attri-bution 4.0 International License, which permits use, sharing, adapta-tion, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creat iveco mmons .org/licen ses/by/4.0/.Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.The original article can be found online at https ://doi.org/10.1007/s0076 9-019-01417 -4. * Peter D. Rostron  pr52@outlook.com Michael H. Ramsey  m.h.ramsey@sussex.ac.uk1 School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9QG, UK2 Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK

Confidence intervals for robust estimates of measurement uncertainty (vol 25, pg 107, 2020)

https://discovery.ucl.ac.uk/id/eprint/10124437/1/Fearn_Rostron2021_Article_CorrectionToConfidenceInterval.pdf

Confidence intervals for robust estimates of measurement uncertainty (vol 25, pg 107, 2020)

Abstract

Similar works

Full text

Available Versions

UCL Discovery