Statistical quantification of sub-sampling representativeness and uncertainty for waste-derived solid recovered fuel (SRF): Comparison with theory of sampling (ToS)

Gerassimidou, S, Velis, CA orcid.org/0000-0002-1906-726X, Bourne, RA orcid.org/0000-0001-7107-6297 et al. (3 more authors) (2020) Statistical quantification of sub-sampling representativeness and uncertainty for waste-derived solid recovered fuel (SRF): Comparison with theory of sampling (ToS). Jounal of Hazardous Materials, 388. 122013. ISSN 0304-3894

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Copyright, Publisher and Additional Information: © 2019 Published by Elsevier B.V. This is an author produced version of a paper published in Journal of Hazardous Materials. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Solid recovered fuel (SRF); Sub-sampling; Uncertainty; Theory of sampling (ToS); Waste
Dates:
  • Published: 15 April 2020
  • Accepted: 2 January 2020
  • Published (online): 11 January 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Jan 2020 09:52
Last Modified: 29 Jan 2020 15:59
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jhazmat.2019.122013

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