Jones, Andrew Michael orcid.org/0000-0003-4114-1785, Lomas, James orcid.org/0000-0002-2478-7018, Moore, Peter et al. (1 more author) (2015) A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy-tailed and non-normal data:with an application to healthcare costs. Journal of the Royal Statistical Society: Series A (Statistics in Society). pp. 951-974. ISSN 1467-985X
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Authors. This content is made available by the publisher under a Creative Commons CC-BY Licence |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Oct 2015 15:14 |
Last Modified: | 08 Dec 2024 00:09 |
Published Version: | https://doi.org/10.1111/rssa.12141 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1111/rssa.12141 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:91029 |
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