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

Andrew Michael Jones; James Lomas; Peter Moore; Nigel Rice

doi:10.1111/rssa.12141

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

Andrew Michael Jones, James Lomas, Peter Moore, Nigel Rice

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	951-974
Journal	Journal of the Royal Statistical Society: Series A (Statistics in Society)
Volume	179
Issue number	4
Early online date	15 Oct 2015
DOIs	https://doi.org/10.1111/rssa.12141
Publication status	Published - 2015

Bibliographical note

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10.1111/rssa.12141

Jones_et_al-2015-Journal_of_the_Royal_Statistical_Society__Series_A_(Statistics_in_Society)
© 2015 The Authors. This content is made available by the publisher under a Creative Commons CC-BY Licence
Final published version, 695 KB

Nigel Rice
- nigel.riceyork.acuk
- Centre for Health Economics - Professor
- Economics - Professor
Person: Academic

4th Health Econometrics Workshop
Nigel Rice (Invited speaker)
19 Jul 2014
Activity: Participating in or organising an event › Seminar/workshop/course

Cite this

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title = "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",

author = "Jones, {Andrew Michael} and James Lomas and Peter Moore and Nigel Rice",

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pages = "951--974",

journal = "Journal of the Royal Statistical Society: Series A (Statistics in Society)",

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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. / Jones, Andrew Michael ; Lomas, James; Moore, Peter et al.
In: Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 179, No. 4, 2015, p. 951-974.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy-tailed and non-normal data

T2 - with an application to healthcare costs

AU - Jones, Andrew Michael

AU - Lomas, James

AU - Moore, Peter

AU - Rice, Nigel

PY - 2015

Y1 - 2015

U2 - 10.1111/rssa.12141

DO - 10.1111/rssa.12141

M3 - Article

SN - 0964-1998

VL - 179

SP - 951

EP - 974

JO - Journal of the Royal Statistical Society: Series A (Statistics in Society)

JF - Journal of the Royal Statistical Society: Series A (Statistics in Society)

IS - 4

ER -

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

Bibliographical note

Access to Document

Profiles

Nigel Rice

Activities

4th Health Econometrics Workshop

Cite this